Next-Gen Transportation Safety: The Safe System Approach

The Safe System Approach (SSA) is a transformative framework for roadway safety that aims to eliminate all fatalities and serious injuries on our transportation network. Adopted by New Jersey Department of Transportation (NJDOT) as part of its commitment to reach zero roadway deaths by 2040, SSA shifts the focus from individual behavior to system-wide responsibility. Instead of limiting safety to select projects, SSA embeds it into every aspect of transportation planning and design.

Courtesy of USDOT

At its core, SSA is grounded in six guiding principles that:

  1. Death and serious injury are unacceptable
  2. Humans make mistakes
  3. Humans are vulnerable
  4. Responsibility is shared
  5. Safety must be proactive
  6. Redundancy is crucial

These principles reflect a shift in how we understand transportation system. They establish that roadways must anticipate human error and be designed so those mistakes do not result in a death or a serious injury.

To put these principles into practice, SSA is organized around five key elements: Safer People, Safer Vehicles, Safer Speeds, Safer Roads, and Post-Crash Care. These elements function as an interconnected system. For example, infrastructure changes like raised intersections (Safer Roads) can encourage slower driving (Safer Speeds) while improving visibility for both drivers and pedestrians (Safer People).

SSA has already shown success across cities and states nationwide. To learn how NJDOT is advancing this approach, we spoke with Jeevanjot Singh, Section Chief for Safety Programs Management within the Bureau of Safety Improvement Programs (BSIP). Our conversation covered the Route 129 project in Mercer County, NJDOT’s SSA training program, and the agency’s cross-department coordination to meet safety goals.


Q. The Safe System Approach is holistic and touches on many elements of a transportation system at once. How does NJDOT coordinate across departments to achieve SSA goals?

A. NJDOT’s adoption of the SSA reflects a strategic shift towards embedding safety as a core value across the organization. Our commissioner says it is the way of life, it’s not a campaign, a motto, or a logo. It’s not something you do today and forget tomorrow. This is how we operate at NJDOT.

Front cover of the 2025 NJ Strategic Highway Safety Plan. Courtesy of the 2025 NJ Strategic Highway Safety Plan

This approach is holistic and not confined to a single unit. It requires a coordinated, agency-wide effort that aligns leadership priorities, operational practices, and resource allocation. To drive this transformation, NJDOT fosters cross-divisional and interdepartmental collaboration, with shared accountability integrated into every phase of project delivery, from planning to design, operations, and asset management.

For example, BSIP partners with planning when designing a project, and we remain involved throughout the construction. After a project is completed, we conduct a post-construction evaluation to identify areas for improvement. We also collaborate with the Intelligent Transportation System (ITS) team to determine how to incorporate technology to increase safety benefits.

Lastly, through the Strategic Highway Safety Plan (SHSP), we ensure that safety priorities are aligned across departments Statewide. This enables coordinated investment and policy decisions and helps leadership track progress towards statewide safety goals. NJDOT is cultivating a culture of safety through senior-level initiatives, training, and education, which empowers staff at all levels to understand their particular role in advancing safe system principles.

Q. One of the key principles of SSA is that responsibility is shared. How do you communicate that message effectively to different stakeholders—such as engineers, planners, law enforcement, and the public?

A. At NJDOT, we use the SHSP as a central platform to align stakeholders across engineering, planning, law enforcement, education, emergency response, governmental organizations, the private sector, and advocacy groups. The SHSP was developed collaboratively with representation from all of these groups on a stakeholder committee, sending a clear message that everyone has a role in eliminating traffic fatalities and serious injuries.

Plenary session of the 2025 NJ SHSP Strategies Workshop. Courtesy of NJDOT’s saferoadsforallnj.com

The SHSP reinforces the idea that achieving zero roadway deaths requires a coordinated, system-wide commitment. We advance this through annual stakeholder briefings, safety summits, and NJDOT-sponsored campaigns. We recently published several SSA videos on LinkedIn and YouTube, and we plan to continue engaging the public through these campaigns and will expand them in the future.

Doing this helps ensure transparency, helps people understand that safety is a shared responsibility, and allows us to share progress towards our safety goals, gather input, and reinforce safety as a shared mission.

Q. Some proponents of SSA have noted that, in certain cases, it is preferable to design a roadway that might see more crashes but fewer fatalities. Can you unpack that concept and explain how it might guide designs decisions?

A. With the SSA, we need to rethink how we define success in roadway design. For example, a proven safety countermeasure is a roundabout. It may increase the rate of certain types of crashes like rear-ends or sideswipes, but significantly reduces severe crashes. These minor crashes occur at lower speeds, while higher severity crashes that can result in death or serious injury such as left turn or right-angle crashes are completely eliminated at a roundabout.

Historically, as reflected in the Highway Safety Manual, crash frequency and reducing total crashes was the major object of focus. But reducing the number of crashes does not necessarily reduce or eliminate higher severity crashes and road fatalities. One of the major shifts with the SSA is focusing on reducing the severity of crashes. We might see a slight increase in minor, low-impact crashes, but reducing significant injuries is the goal.

That is the ethical foundation of the SSA: no loss of life is acceptable. Humans will make mistakes, but the result of those mistakes should not lead to an empty seat at the dinner table. Our projects will increasingly prioritize speed management and reducing conflict points that lead to higher severity crashes. The SSA is a more ethical and human-centered approach to roadway safety.

Fatal and serious injuries by crash type. Courtesy of the 2025 NJ SHSP Strategies Workshop Morning Breakout Session Presentation on NJDOT’s saferoadsforallnj.com

Q. When evaluating roads for safety improvements, how does NJDOT decide where to intervene? Do you focus primarily on areas with high crash rates, or do you also use proactive assessments of roadways to identify risks before crashes occur?

A. At NJDOT, we use both reactive and proactive data. Proactive analysis means conducting systemic, risk-based assessment, and reactive assessment relies on crash history to identify patterns. We combine historical data, hotspot analyses, and proactive risk assessments to align with the SSA.

Traditionally, NJDOT relied heavily on crash data to identify hotspots locations with high crash frequencies or rates. This still plays a role, especially when there are urgent safety concerns. But we now also use systemic analysis. For example, we performed a horizontal curve analysis, where we looked at every horizontal curve in the state and local network and shared that data with the MPOs and counties. They are using it to improve some of the horizontal curves locally, and we have projects underway to improve those horizontal curves on the state network as well.

We now have several systemic analyses underway focused on wrong-way driving, intersections, school zones, pedestrians, and bicyclists. MPOs and local partners are developing their own roadway safety plans with similar proactive, systemic analyses to identify where certain crash risks may arise even before crashes occur.

In addition, we use systematic safety strategies by deploying proven safety countermeasures across the entire network, regardless of crash history. For example, we recently installed centerline rumble strips on all two-lane, undivided state roadways. We also have regional projects in design to improve pedestrian safety at every mid-block crossing on the state highway system. Another example is our Vegetation Safety Management Program, which systematically improves roadside clear zones and sight distance on our limited-access roadways and interstates.

Within the Highway Safety Improvement Program, we use both reactive and proactive methods, and we integrate safety into every capital project. For all projects, we provide safety management system data, share risk analysis findings, and encourage teams to address those risk.

Q. One of SSA’s five elements is Safer Vehicles. Is NJDOT engaged in any initiatives that support safer vehicle technologies—such as automatic emergency braking, Vehicle to Everything (V2X) communication, or other automated innovations?

A. Vehicle manufacturers ultimately have the greatest influence over the technologies built into new vehicles, but we still play an important role through the SHSP. Two key strategies are education and fleet modernization.

First, we partner with agencies such as the New Jersey Division of Highway Traffic Safety, the New Jersey Motor Vehicle Commission, and AAA to educate drivers on how to use advanced safety features such as automated emergency braking and lane-keeping assist effectively and safely. We’ve found that many drivers disable certain safety features, so educating the public about what these systems are and why they matter is a major initiative.

Second, we support fleet modernization. NJDOT manages only a small portion of the state fleet, but we are reviewing procurement practices to ensure advanced safety technologies are considered whenever we replace vehicles at the end of their service life. This requires coordination with the Department of the Treasury to ensure procurement processes support these upgrades.

We are also advancing connected and autonomous vehicle (CAV) technologies. We are integrating CAV equipment into our ITS architecture to support vehicle-to-infrastructure and vehicle-to-everything communication. Most of our capital projects now include roadside units and other elements that enable V2X exchanges. We also recognize that CAVs require more than digital systems they need clear signage, consistent roadway geometry, and well-maintained pavement markings to accurately interpret their environment. These infrastructure elements are being prioritized to support safe and reliable automated vehicle operations.

Q. At the December 2024 NJSTIC Meeting, you mentioned NJDOT’s new SSA training program. What is the scope and goal of this training? Is this ongoing, and have any training sessions been delivered so far?

A.  When we first heard about the SSA at the federal level, we conducted a gap analysis of what NJDOT is doing today in terms of safety and where we need to take it. Based on that analysis, we developed a New Jersey-based SSA training. The goal is to ensure that staff understand how SSA principles apply to their work.

Safe System Approach Training Session. Courtesy of NJDOT

It is a full-day interactive session introducing participants to the fundamentals of SSA. The course sparks discussion, encourages cross-disciplinary thinking, and builds a common language around safety.

We launched this program in December 2024 with a pilot of 30 participants from across NJDOT and partner agencies. We held a second session in October 2025 with more than 80 participants, and these sessions have built momentum for an effective integration of SSA.

Building on this success, we are developing a multi-day training session called SSA in Action, which will delve deeper into applying SSA principles to real-world projects, enabling staff to translate theory into practice. Eventually, we hope to open the training to consultants as well.

Q. Can you describe the Route 129 project in Mercer County? What SSA solutions are being applied there, and why was this corridor selected for the pilot?

A. The Delaware Valley Regional Planning Commission and the City of Trenton conducted a road safety audit along Route 129 in 2020, which identified critical issues at multiple key intersections. We tried implementing improvements at targeted intersections along the corridor, but they did not produce sufficient results. So we decided to invest in corridor-wide safety improvements.

The corridor-wide design is structured around three major improvement categories: gateway improvements, corridor enhancements, and intersection upgrades. The categories align with the SSA roadway design hierarchy, which prioritizes strategies based on their potential to save lives.

  • Tier 1: Remove severe conflicts. We are using a two-way shared-use path to physically separate pedestrians and bicyclists from vehicle traffic.
  • Tier 2: Manage or reduce speeds. The corridor currently has a 45 mph with a 50 mph design speed. We are designing a serpentine gateway treatment with a target speed of 35mph and posted speeds of 30 mph to slow entering vehicles the corridor.
  • Tier 3: Manage conflicts in time. The redesign includes right-turn-on-red restrictions at three intersections, leading pedestrian intervals, and Jersey Extension technology, which can automatically extend the all-red clearance if a pedestrian is still in the crosswalk or if a vehicle appears likely to run the red light, preventing a potential conflict.
  • Tier 4: Increase attentiveness and awareness. We are adding enhanced pavement markings, transverse rumble strips, and advanced warning signs that will alert drivers to the changing environment.

Route 129 was chosen because it offers a strong opportunity to apply SSA comprehensively. By designing the corridor as a model of successful SSA integration, we can replicate the approach on future projects, including those in highly complex urban settings.

Route 129 Corridor project. Courtesy of the December 2024 3rd Triannual NJ STIC Meeting

Q. Beyond Route 129, are there other NJDOT projects or pilots that highlight how SSA principles are being applied?

A. Two examples come to mind. The first project is the Route 26 Pavement Resurfacing Project on Livingston Avenue in Middlesex County. It was originally scoped as a standard mill-and-overlay. During discussions, the manager saw an opportunity to improve safety for the many cyclists and pedestrians who use this corridor. Even though the construction had begun, the manager issued a change order to add bike lanes, upgrade traffic signals, and enhance crosswalk visibility. This reflected SSA in action, prioritizing human life and adapting designs to better protect vulnerable road users.

The second example is a pavement preservation project on I-195 around exits 16A/16B near Six Flags and the outlet malls. The project manager asked our bureau key safety concerns at these exits, and we confirmed long-standing fixed-object crashes caused by confusion between the two exits. We updated the design with enhanced pavement markings and improved signage to reduce confusion and mitigate crash risks. This reflects another SSA principle: designing for human error and vulnerability. We anticipate mistakes will occur, and we used Tier 4 strategies to minimize confusion along this corridor.

These examples show that the SSA is not just for major redesigns as in the case of Route 129, small fixes on everyday projects can also prevent serious injuries and fatalities. We are empowering staff to recognize that making a corridor safer does not always require a huge effort.

Q. What do you see as the biggest challenges to fully adopting the Safe System Approach in New Jersey, and how is NJDOT working to overcome them?

A. One of the biggest challenges is shifting the cultural mindset from focusing on crash frequency to prioritizing reducing crash severity, and embracing the idea that no loss of life is acceptable. Making this shift requires changes in infrastructure design, policy, institutional practices, and public behavior.

Fatal and serious injuries by safer people subcategory. Courtesy of the 2025 NJ SHSP Strategies Workshop Morning Breakout Session Presentation on NJDOT’s saferoadsforallnj.com

Accepting human error is important. Mistakes such as distracted or impaired driving remain leading causes of crashes. The SSA does not ignore this reality. We must accept that errors will occur and design a system that is forgiving and prevents them from being fatal.

At NJDOT, we’re incorporating SSA principles strategically and incrementally improving our processes. We are prioritizing projects at high-risk locations and trying to embed SSA principles into all phase of project delivery. We want these examples to become the norm.

We also recognize that safety improvements must extend beyond state roadways. For example, we funded the South Jersey Transportation Planning Organization through the Highway Safety Improvement Program to support local road safety plans.

Ultimately, we’re targeting longer-term transformation, which requires shared commitment across agencies and communities. Our goal is to make the Bureau of Safety redundant. We want everyone at NJDOT to be a safety SME. We have already seen a major cultural shift under our former commissioners Diane Gutierrez-Scaccetti and Fran O’Connor, both of whom have been instrumental in advancing this safety culture change.  

Q. How will NJDOT measure progress toward its goal of zero roadway deaths by 2040? Are there specific metrics or milestones you are tracking?

A. Measuring progress towards zero roadway deaths by 2040 requires a data-driven, transparent, and collaborative approach. We track key performance indicators such as the number and the rate of fatalities, the number and rate of serious injuries, and fatal and serious injury crashes involving non-motorized users. These metrics are updated annually using crash records and data from New Jersey’s Safety Management System, the State Police Traffic Fatalities Dashboard, the federal Fatality Analysis Reporting System database, and other reliable sources. We report these data in our annual safety report.

Beyond these numbers, the Target Zero Commission is developing a comprehensive action plan and a publicly accessible crash data portal, which will include a high-injury network to help identify and prioritize locations for safety improvements. The Commission will conduct periodic reviews and publish progress reports to ensure accountability. One requirement of the action plan requirements is identifying new metrics that we will track and report annually.

By combining robust data analysis with stakeholder input, NJDOT is working toward measurable and meaningful progress. These elements guide how we invest, shape policy, and ultimately save lives.

Interview with 2025 NJDOT Research Showcase Poster Award Winner: Md Tufajjal Hossain

2025 NJDOT Research Showcase Poster Award Winner Md Tufajjal Hossain discusses how leveraging connected-vehicle telematics and machine learning can proactively identify high-risk roadway locations to prevent crashes before they occur.


Q. Could you share a bit about your educational and research experience and what led you to pursue PhD research at NJIT?

A. First, thank you for the opportunity to speak with you today. I am happy to share a bit about my background.

I completed my bachelor’s degree at Pabna University of Science and Technology in Bangladesh with a major in Urban and Regional Planning. During my undergraduate studies, I took a required course on transportation planning and engineering where I worked on projects involving traffic surveys and origin-destination analysis. That course sparked my interest and after the course finished I met with the instructor to express my strong desire to pursue a career in this field.

Click to view poster

He helped introduce me to the field and I became involved in research and gradually developed an interest in intelligent transportation systems. I was particularly interested in applying machine learning, artificial intelligence, statistical analysis, and connected vehicle data to improve safety and operations in the transportation engineering field.

When I learned about the Intelligent Transportation System Resource Center (ITSRC) at NJIT, I was drawn by its ability to support this innovative research. Additionally, the partnership with NJDOT allows ITSRC to focus on applying real-world research.
ITSRC provides access to technical data, state-of-the-art sensors and data sources and high-performance computing resources, which motivated me to pursue my PhD at NJIT.

Q. You recently received the 2025 Research Showcase Poster Award for your work using harsh braking data to identify crash risk. What motivated you to explore this topic?

A. What motivated me to explore this topic is the limitations of existing literature on traditional crash analysis. Most research utilizes historical crash data, which is reactive and not as adaptive to new conditions. I was interested in finding a way to identify risky roadway locations before any serious crashes happen.

Harsh braking events captured from connected-vehicle data reflect sudden driver reactions to unsafe conditions and occur significantly more often than crashes. I saw strong potential in using these events as an early warning signal to identify areas with a high crash risk.

Q. Your study calculated harsh braking events using connected vehicle telematics. Could you describe how you identified those events and the statistical models you used to evaluate their relationship to crash risk?

Click to view presentation

A. I performed preliminary statistical analysis, a literature review, and reviewed several DOT reports. Most previous DOT studies define harsh braking using a threshold of 0.2 g, approximately 6 ft/s2. To remain consistent with these prior efforts, I adopted the same threshold in this study.

After defining harsh braking events, we mapped both the harsh braking data and crash data across one-mile segments on the New Jersey highway network. Additional filtering was applied to accurately capture both harsh braking events and crashes. We then conducted the analysis using statistical count models. To address that most roadway segments had zero crashes and the crash data was over-dispersed, we applied a Negative Binomial model and a Zero-Inflated Negative Binomial model.

Q. What challenges did you encounter during the research—whether in accessing telematics data, processing it, or conducting the analysis?

A. I would first like to thank the Mobility and Operations team at NJDOT, especially Sal Cowan, Vandana Mathur, Thomas Murphy and Konstantinos Kyros, for their support on this project. Additionally, I thank ITSRC at NJIT for providing me with the opportunity to work on this project. The Mobility team at NJDOT made it easy for us to access the Drivewyze data, and their support helped us examine whether this data could be used to identify effective countermeasures to reduce harsh braking and crash risk.

Beyond data access, one of the main challenges in this research was working with large and complex telematics data. The raw data included over eight million records and required careful data cleaning to remove missing values and ensure consistency in speed, location and acceleration information.

Accurately matching harsh braking events and crash events with the correct one-mile segments presented another challenge. After matching the one-mile segments, we found some discrepancies, which required manual filtering.

Lastly, we faced a challenge when selecting the appropriate statistical model. Crash data are highly variable and include many zero values, so we needed models that could properly handle over-dispersion and excess zeros.

Q. What were the major findings of the study, and what do you think is most important for practitioners to take away from your results

A. The major finding from this research is that harsh braking positively correlates with crash events. Segments with higher rates of harsh braking events also tended to experience higher rates of crash events. Our statistical analysis showed that each additional harsh braking event was associated with an increase in expected crash counts; for example, an increase of 10 harsh braking events corresponds to a roughly 10 percent higher expected crash frequency across New Jersey’s highway network.

Q. For roadway segments with elevated harsh braking rates, which safety countermeasures do you see as most promising? Would you prioritize engineering improvements, variable speed limits during adverse weather conditions, or other approaches?

Correlation between harsh braking incidents and crashes

A. For institutions and agencies, the major takeaway is that harsh braking data can be used proactively to identify high-risk locations and prioritize safety improvements. By monitoring harsh braking behavior in near real time, agencies can identify locations with a high potential for crashes before crashes actually occur. This allows agencies to implement safety countermeasures in advance, such as improved signage, variable speed limits, or other traffic control strategies, rather than reacting after crashes happen.

Q. You also received the ITSNJ 2025 Outstanding Graduate Student Award. Was this recognition for the same study or for other research? If the latter, could you briefly describe that work?

A. No, I received the ITSNJ 2025 Outstanding Graduate Student Award for different studies. One was an NJDOT-funded project that used a machine-learning–based approach and crowdsourced Waze data to develop an incident detection model. That work focused on improving Safety Service Patrol deployment at NJDOT.

In addition, I was involved in developing a crash severity prediction model using large language models (LLMs), which was recognized with the ITSNJ Best Poster Award. In a separate project, I contributed to a LiDAR-based pedestrian detection system aimed at improving pedestrian safety at intersections.

Q. Are there emerging areas of research or new technologies you are considering focusing on for your dissertation?

Click to view presentation

A. For my dissertation, I am planning to use advanced machine learning and connected vehicle data to improve the traditional four-step travel demand modeling, which requires costly and difficult-to-collect data such as Origin-Destination (OD) data. My research explores how connected-vehicle data can be used to replace or supplement traditional OD data and still produce reliable model outputs. The goal is to make four-step modeling more data-driven, practical, and scalable for transportation agencies.

Q. Looking ahead, do you see yourself leaning more toward academic research, applying your work in practice, or combining both paths?

A. Looking ahead, I see myself combining both academic research and practical application. I enjoy conducting rigorous research and developing new methods, but I strongly value that the research is applied to solve real transportation problems. My goal is to pursue an academic career while also continuing close collaboration with public agencies like NJDOT so that my research remains grounded in real-world needs. I believe this balance allows research to have greater impact and advance knowledge while directly improving transportation, safety and operations.

Events such as the annual NJDOT Research Showcase bring together NJDOT staff, researchers, students, and private-sector partners to exchange ideas. Source: NJDOT BRIIT

Advancing Innovation Through Shared Expertise at NJDOT

Learning from Each Other

Peer-to-peer (P2P) exchanges have become a cornerstone of innovation in state transportation agencies. Designed to share knowledge, test new approaches, and strengthen collaboration, these exchanges help DOTs tackle complex challenges while improving performance and outcomes. At the federal level, the Federal Highway Administration (FHWA) encouraged these activities through its Every Day Counts (EDC-7) and other programs, promoting the rapid adoption of proven innovations. Each state supports these efforts through its State Transportation Innovation Council (STIC), which serves as a hub for fostering cross-agency collaboration, knowledge transfer, and the adoption of new strategies.

At NJDOT, P2P exchanges do more than fulfill federal guidance—they provide a practical mechanism for advancing internal collaboration, building external partnerships, and piloting solutions that enhance safety and infrastructure resilience. Through structured exchanges with local, regional, and national partners, NJDOT has accelerated implementation of innovations ranging from rural roadway safety improvements to digital twin modeling for traffic management. These forums also create opportunities for centralized data sharing, coordinated planning, and the development of problem-solving methods that can be adapted across divisions and partner agencies.

NJDOT’s experience demonstrates how peer exchanges can translate shared knowledge into measurable outcomes, from cost savings and improved safety to more effective planning and operations. NJDOT first hosted a Peer Exchange in October 2001, aligning research management practices with department goals/policies. Additional goals include collaborating with TRB, NCHRP, and other universities (NJDOT 2001). NJDOT followed this with another Peer Exchange Report in 2006, centered on how NJDOT can better implement research findings and establish performance standards, highlighting lessons learned from states like Delaware, North Carolina, and Minnesota (NJDOT 2006). The Department went on to publish an October 2011 Peer Exchange Report, highlighting recent improvements, such as the use of the automated PROMPTS (Project Management and Progress Tracking System) system to help better track project progress from problem statement to delivery (NJDOT 2011).

In June 2014, FHWA hosted a Peer Exchange on Locally Administered Federal-Aid Projects, sharing NJDOT’s Local Aid Eligibility Assessment form as a model example. State officials also noted their desire to create a certification acceptance program with USDOT (FHWA 2014). The Department then hosted another Research Peer Exchange in October 2016, which promoted linking financial data to performance goals, and was held alongside the Annual Research Showcase to maximize stakeholder input (FHWA 2016).

Strengthen Collaboration Within NJDOT

Improving Rural Road Safety

Rural road departures—where vehicles unintentionally leave the roadway—pose a significant safety risk, often resulting in fatalities or serious injuries. In 2018 and 2019, NJDOT, in partnership with FHWA, hosted a peer exchange with Cumberland and Somerset counties to explore strategies for reducing these incidents (NJDOT BRIIT, 2020).

County engineers discussed approaches such as rumble strips, high-friction surface treatment (HFST) on curves, and improved roadway markings. By sharing their experiences and local data, participants identified which countermeasures were most effective under various conditions.

To move from discussion to implementation, NJDOT and the South Jersey Transportation Planning Organization (SJTPO) identified pilot locations on High Risk Rural Roads (HRRR).  Several roads in Cumberland County were subsequently designated HRRR and received targeted safety improvements. The exchange also brought to light implementation challenges, including a shortage of specialized contractors, high unit costs for HFST, and outdated crash data. Somerset County engineers reported using FHWA’s HFST Curve Selection & Installation Guide to prioritize projects and manage costs effectively.

High Risk Rural Roads in Cumberland County Source: Whitaker, D.W. 2019. Systemic Safety Improvements: Cumberland County Engineering Department.
High Risk Rural Roads in Cumberland County. Source: Whitaker, D.W. 2019. Systemic Safety Improvements: Cumberland County Engineering Department.

HFST improvements on five curves along a mile-long stretch of Chimney Rock Road (Somerset County) reduced annual crashes by 84 percent, falling from 73 to just 12. Other rural roads in the county experienced reductions of up to 80 percent.

Building on these results, the County is incorporating GIS-based crash mapping and the Regional Curve Inventory and Safety Assessment to identify and prioritize future high-risk locations for signage or HFST. Staff are also using FHWA guidance to help select and implement the most appropriate curve treatments.

The exchange allowed counties not only to learn new approaches but also to plan more efficiently and anticipate challenges before implementation. The collaborative process strengthened NJDOT’s internal coordination and set a model for county-level safety projects across the state.

Rebuilding Infrastructure Through Cross-Agency Collaboration

In July 2025, NJDOT partnered with the New Jersey Department of Community Affairs (NJDCA) and the New Jersey Infrastructure Bank (I-Bank) to help Seaside Park rebuild its storm-damaged boardwalk. While not a traditional peer exchange, this project illustrates the same principles of shared knowledge, aligned resources, and collaborative problem-solving (NJIB 2025).

Pedestrian view of the damaged boardwalk in Seaside Park, NJ. Source: New Jersey Infrastructure Bank, 2025.
Pedestrian view of the damaged boardwalk in Seaside Park, NJ. Source: New Jersey Infrastructure Bank 2025.

Boardwalks are essential transportation assets in coastal communities, supporting pedestrian mobility, emergency response access, and local economies. The I-Bank provided $12.3 million in low-interest financing over 30 years, while NJDCA connected local needs with available funding. NJDOT estimates the project will save approximately $5.1 million for taxpayers and support 147 direct construction jobs. Some of the project’s major design upgrades include replacing the substructure of the boardwalk to improve resiliency, and adding new ADA-compliant ramps to ensure the boardwalk can be enjoyed by all users.

Beyond financial benefits, the project offers lessons in streamlining multi-agency coordination, expediting project delivery, and applying NJDOT expertise at multiple levels. NJDOT Commissioner Fran O’Connor stated that the project is “a perfect example of how multiple state agencies can work together to deliver smart, lasting infrastructure improvements in coordination with a local government” (NJDOT LARC 2025).

Working with External Partners

Sustaining TSMO

Transportation Systems Management and Operations (TSMO) strengthens safety and mobility by using technology, data, and operational strategies to improve performance on the existing roadway.

In early 2025, the National Operations Center of Excellence (NOCoE) hosted a Sustaining TSMO Virtual Peer Exchange to share best practices nationwide. NJDOT was invited to present how it continues to elevate TSMO within the organization. Senior Director of Transportation Mobility Sal Cowan described NJDOT’s evolution from establishing a 24/7 Transportation Management Center to embedding TSMO principles across every division (NOCoE 2025).

Cowan emphasized that sustaining TSMO strategies requires long-term relationships with partners such as FHWA, MPOs, university researchers, and neighboring DOTs. These collaborations allow the Department to integrate real-time and historical data into planning, leading to coordinated roadway operations and enhanced safety outcomes across modes.

TSMO is also incorporated into long-range planning, including freight strategies and electric vehicle initiatives. NJDOT is investing $40 million in work programs focused on staff training, emerging technologies, and operational readiness. These commitments position the Department to continuously adapt to new challenges—while ensuring TSMO remains embedded in everyday practice.

One TSMO project grew directly from lessons learned through peer exchanges. In 2019, the NCHRP Management and Use of Data for Transportation Performance Management guide highlighted how NJDOT’s progress in training staff, joining probe-data user groups, and learning from agency peers already using the Regional Integrated Transportation Information System (RITIS) and INRIX platforms (NCHRP 2019).

After joining the I-95 Corridor Coalition’s Probe Data Analytics User Group, NJDOT staff observed how Maryland and other DOTs used probe data to track congestion and manage projects. That experience helped staff adopt similar in-house methods. By 2022, these lessons led to national recognition, as NOCoE awarded NJDOT “Best TSMO Project” for its U.S. Route 1 ITS Improvement Project in South Brunswick. The project reduced PM-peak travel times by 45 percent and delays by nearly 30 percent (NJDOT BRIIT 2022).

Extending Pavement Life With Balanced Mix Design

Events such as the annual NJDOT Research Showcase bring together NJDOT staff, researchers, students, and private-sector partners to exchange ideas. Source: NJDOT BRIIT
Events such as the annual NJDOT Research Showcase bring together NJDOT staff, researchers, students, and private-sector partners to exchange ideas. Source: NJDOT BRIIT

In March 2023, FHWA convened eight Northeastern transportation agencies for a peer exchange on Balanced Mix Design (BMD), a method of asphalt performance testing that reduces cracking and extends service life. NJDOT shared its use of BMD for specialty mixtures, applying AASHTO-certified testing standards to benchmark performance while maintaining volumetric testing using state and third-party labs. Sampling occurs approximately every 3,500 tons, with plans to increase frequency (FHWA 2023).

The exchange highlighted regional approaches to data management, verification, and validation. NJDOT refined testing methods, reduced quality assurance costs, and evaluated a broader range of conditions for specialty asphalt mixes. NJDOT’s BMD initiatives have extended pavement life. High-performance thin overlays (HPTO) mixes have lasted up to 13 years on higher-distress pavements, and combining Binder Rich Intermediate Course (BRIC) with stone matrix asphalt (SMA) has increased projected service life by at least 10 years compared to traditional mixtures with no BRIC. The collaboration reinforced the value of sharing technical expertise across state lines (Hajj & Aschenbrener 2021).

Planning for the 2026 World Cup

Final Report for the World Cup 2026 Mobility and Operations Peer Exchange. Source: NOCoE, 2025.
Final Report for the World Cup 2026 Mobility and Operations Peer Exchange. Source: NOCoE 2025.

With New Jersey hosting seven matches and the final for the 2026 World Cup, NJDOT engaged in extensive planning and coordination. In October 2024, the agency coordinated with NOCoE to host a peer exchange with other state DOTs and host cities to discuss large-scale event strategies. Lessons drawn from Georgia DOT’s Super Bowl LIII and Miami-Dade County’s Copa 2024 guided approaches to security, transit scheduling, and traffic management, including hard-shoulder running lanes. Locally, NJDOT is coordinating security upgrades with the New Jersey State Police, syncing transit schedules with the Port Authority, and collaborating with multiple local agencies (NOCoE 2025).

Ahead of the World Cup, NJDOT is advancing several Intelligent Transportation Systems (ITS) upgrades to support real-time traffic management. ITS includes tools such as dynamic message signage and computerized arterial traffic signals (NJDOT 2025). NJDOT has awarded $20.6 million in contracts for ITS improvements in Bergen, Hudson, Essex, and Passaic counties (NJ Office of the Governor 2025). As part of this suite of upgrades, NJDOT is developing a first-of-its-kind LiDAR 3D roadway map of the area surrounding MetLife Stadium to enhance operations and incident response. The exchange demonstrated how P2P collaboration can accelerate innovation, anticipate challenges, and enable technology-driven solutions in high-pressure, large-scale scenarios (HNTB 2025).

Applied Research and Performance Tracking

In September 2017, Montana DOT hosted a peer exchange focused on applied research, performance measure tracking, and implementation of innovative practices. NJDOT participated virtually, sharing its approach to integrating implementation into research projects (Seeber & Hirt 2018).

Participants discussed funding strategies, aligning project with FHWA criteria, and systems for tracking outcomes, such as Minnesota’s ARTS database. NJDOT drew lessons on improving internal tracking, pairing performance outcomes with reporting, and maintaining financial sustainability while adopting new practices. These insights have informed NJDOT’s approach to research integration and long-term planning.

Lessons Learned and Opportunities Ahead

NJDOT’s experience shows that structured peer collaboration advances innovation, improves safety, and leads to measurable results. Through internal and external exchanges, NJDOT has:

  • Strengthened safety on rural roads through targeted countermeasures
  • Reduced costs and supported job creation through municipal infrastructure projects
  • Enhanced operational strategies through TSMO integration and digital mapping
  • Extended pavement life using advanced asphalt design and testing
  • Improved planning and coordination for large-scale events like the 2026 World Cup
  • Refined research implementation and performance tracking for long-term planning

These efforts have helped NJDOT shift from traditional traffic and asset management toward a proactive, knowledge-driven approach. Lessons learned inform decision-making in storm resiliency, freight planning, electric vehicle strategies, and municipal collaboration.

Looking ahead, NJDOT will continue to integrate peer exchanges into long-range planning, freight operations, and EV initiatives. National resources, including the NCHRP synthesis on peer exchanges, offer further guidance for maximizing collaboration and innovation.

In March of 2025, NJDOT’s Bureau of Research, Innovation, and Information Transfer (BRIIT) participated in a peer exchange focused on research strategies, project selection, and implementation (MassDOT 2025).

Attendees to the 2025 Artificial Intelligence in State DOTs Peer Exchange. Source: Caltrans 2025.
Attendees to the 2025 Artificial Intelligence in State DOTs Peer Exchange. Source: Caltrans 2025.

NJDOT is also contributing to best practices for emerging technology. In early 2025, NJDOT took part in the Artificial Intelligence in State DOTs peer exchange sponsored by Caltrans (Caltrans 2025). Discussions centered on workforce readiness, data governance, ethical guidance, and real-word applications of AI in transportation. New Jersey already has a statewide AI policy, and NJDOT is applying these concepts through a staff-facing chatbot and a pilot integrating machine learning into construction cost estimation.

An October 2025 AI-focused peer exchange convened by University of Massachusetts – Amherst reinforced the importance of collaboration as states adapt to rapidly evolving technologies. NJDOT played a central role, contributing to the national dialogue and helping shape best practices. With no federal regulatory framework yet in place, states are using peer exchanges to align strategies, address challenges, and learn from each other. More broadly, peer exchanges allow NJDOT to share its experience and translate collective knowledge into practical improvements across operations, research, and technology adoption.


Resources

Caltrans Division of Research, Innovation & System Information. (2025). AI in State DOTs Peer Exchange 2025 Final [PDF]. Retrieved from https://www.dropbox.com/scl/fi/lgdkkepqv8q70nm8nswmz/AI-in-State-DOTs-Peer-Exchange-2025-FINAL.pdf?rlkey=5uuavev1qkjxskr85hznsp0lq&e=1&st=ozc4pnex&dl=0

Federal Highway Administration. (2023). Northeast Peer Exchange on Balanced Mix Design (BMD): Outcomes and summary. https://www.fhwa.dot.gov/pavement/asphalt/HIF_2023%20Northeast_Peer_Exchange_on_Balanced_Mix_Design_%28BMD%29_Outcomes_and_Summary.pdf

Hajj, E. Y., & Aschenbrener, T. B. (2021, March). Case studies on the implementation of balanced mix design and performance tests for asphalt mixtures: New Jersey Department of Transportation (NJDOT) (WRSC-TR-21-06). University of Nevada, Reno. Retrieved from https://eng.auburn.edu/research/centers/ncat/files/New-Jersey-Case-Study.pdf

HNTB Corporation. (2025) Garden State Glory: As a host to FIFA World Cup 26™ games and final, New Jersey is meticulously preparing its transportation infrastructure for global visitors while ensuring smooth mobility for locals. https://www.hntb.com/think/garden-state-glory/

Massachusetts Department of Transportation. (2025). MassDOT Research Peer Exchange 2025: Final Report. Retrieved from https://www.mass.gov/doc/massdot-peer-exchange-report/download

National Academies of Sciences, Engineering, and Medicine. (2019). Management and Use of Data for Transportation Performance Management: Guide for Practitioners (NCHRP Report 920). Washington, DC: The National Academies Press. https://doi.org/10.17226/25462

National Operations Center of Excellence. (2024, October 14–15). WC26 New Jersey peer exchange: October 14–15, 2024. https://transportationops.org/pse/wc26newjersey

National Operations Center of Excellence. (2025, March 11). Sustaining TSMO Peer Exchange Report. https://www.transportationops.org/system/files/uploaded_files/2025-03/NOCoE%20-%20Sustaining%20TSMO%20Peer%20Exchange%20Report.pdf

New Jersey Department of Transportation, Bureau of Research, Innovation & Information Transfer. (2020, March 26). How New Jersey counties are reducing rural roadway departures. NJDOT Technology Transfer. https://www.njdottechtransfer.net/2020/03/26/how-new-jersey-counties-are-reducing-rural-roadway-departures/

New Jersey Department of Transportation, Bureau of Research, Innovation & Information Transfer. (2022, June 9). NJDOT wins Best TSMO Project from National Operations Center for Excellence. NJDOT Technology Transfer. NJDOT Technology Transfer. https://www.njdottechtransfer.net/2022/06/09/njdot-wins-best-tsmo-project/

New Jersey Department of Transportation, Local Aid Resource Center (LARC). (2025, July 17). Multi-agency collaborative effort delivers first boardwalk loan to Seaside Park. https://njdotlocalaidrc.com/news/post.php?s=2025-07-17-multi-agency-collaborative-effort-delivers-first-boardwalk-loan-to-seaside-park

New Jersey Department of Transportation. (2025). Traffic engineering (ITS/ MSE) – Division of Engineering: Electrical/ITS. https://www.transportationops.org/publications/new-jersey-dot-mobility-and-systems-engineering

New Jersey Infrastructure Bank. (2025, July 17). Multi-agency collaborative effort delivers first boardwalk loan to Seaside Park. https://www.njib.gov/news/multi-agency-collaborative-effort-delivers-first-boardwalk-loan-to-seaside-park-68793024d3c4b

New Jersey Office of the Governor. (2025, July 10). ICYMI: NJDOT’s FY25 capital program delivers more than $1 billion in contracts for the 7th consecutive year demonstrating Murphy Administration’s commitment to infrastructure investment. https://www.nj.gov/governor/news/news/562025/approved/20250710b.shtml

Seeber, K., & Hirt, B. (2018, January). Montana Department of Transportation research peer exchange: Implementation, performance measures, and the value of research (Final Report No. FHWA/MT-18-001/9510-566). CTC & Associates LLC. https://www.mdt.mt.gov/other/webdata/external/research/docs/peer/2017_report.pdf

Whitaker, D. W. (2019). Systemic Safety Improvements: Cumberland County Engineering Department.  https://www.njdottechtransfer.net/wp-content/uploads/2018/06/Cumberland-Systemic.pdf

Interview with 2025 NJDOT Research Showcase Outstanding Student: Xiaoyu Zhang

Rutgers PhD student Xiaoyu Zhang received the 2025 NJDOT Outstanding University Student in Transportation Research Award for his contributions to pavement engineering, traffic safety, and emerging sensing technologies. His work spans pothole detection, friction modeling, and variable speed limit systems, reflecting a blend of traditional engineering, computer vision, and machine learning. In this interview, he discusses his research journey, current projects, and how he hopes to translate innovative research into practical tools for transportation agencies.

Research Journey

Q. Congratulations on receiving the 2025 NJDOT Research Showcase Outstanding University Student in Transportation Research Award. Could you share a bit about your educational and research experience and how you became a PhD student researcher at Rutgers University?

A. First, I am truly honored to receive the NJDOT Outstanding Student Award. I know there are many excellent students in this field, so I really appreciate the committee’s consideration, and my advisor, Dr. Hao Wang, for his continuous support and guidance.

I received both my bachelor’s and master’s degrees in transportation engineering from Southeast University in China, where Dr. Wang also began his academic career. After my master’s program, I worked for two years with a highway design company, where I worked on project feasibility studies. This helped me gain real-world experience in transportation safety and policy, but the work itself was less innovative.

My path to Rutgers started when my master’s advisor informed me that Dr. Wang was recruiting PhD students and his research had a strong overlap with my previous work. During my master’s, I worked on 3D pavement surface scanning and data processing. I reached out to Dr. Wang and we arranged an online meeting, which made me more confident that Rutgers and this team were the right place for me. Soon after, I received the offer from Dr. Wang and decided to join. It was a big challenge to move to another country, but also a great opportunity to work with this innovative, highly productive research group.

Innovative Pothole Detection

Q. You’re working on the NJDOT-sponsored Innovative Pothole Repair Materials and Techniques project. What drew you to this research, and what are its key goals?

A. For the Innovative Pothole Repair Material and Techniques project, the first phase focused on asphalt pavement pothole repair, which was successfully completed by Dr. Wang and Dr. Xiao Chen. In phase two, our focus has shifted to concrete pavement pothole repair, and we are collaborating with Dr. Husam Najim and his team.

I’m particularly interested in the innovative techniques side of the project, especially for pothole detection. Our team decided to develop a low-cost 3D imaging system for pothole detection and assessment. The system can estimate a pothole’s volume and depth, which is helpful for determining severity and the amount of materials needed for repair. Currently, NJDOT conducts pavement assessments biannually, but potholes can develop and deteriorate very quickly. Our goal is to create a low-cost, efficient system for pothole detection and rapid repair, helping agencies identify and fix potholes earlier to prevent damage to the roadway and cars.

Our system uses three cameras to capture three images at different angles. Those images are processed in our algorithm in just a few seconds to generate a 3D model of the pothole to extract the volume, depth, and the area of the pothole. In our lab, we created a test pothole and scanned it with a high-resolution handheld 3D laser scanner, which costs around $30,000, and our low-cost, three-camera imaging system, which costs less than $1000. I found that there is less than a 1 percent relative error between the two systems. This demonstrates that our method provides sufficient accuracy for practical applications compared to commercial laser scanners.

3-Camera Imaging System. Image courtesy of Xiaoyu Zhang

Additionally, while the laser scanners are very accurate, they are also expensive, time-consuming, and hard to mount on moving vehicles. In contrast, our system uses compact and affordable GoPro cameras, which are easy to mount and resistant to vibrations. This makes our system much more suitable for our main goal: providing a rapid, low-cost estimation of pothole geometry.

Q. What would be the next steps? Is it just implementation at this point or is it further refining of the process?

A. Our next goal is to adapt this low-cost system for real-world use. There are several challenges we need to address before deployment, such as handling the continuous video data, managing vehicle vibration and speed, optimizing the camera mounting height and angle, and improving the real-time processing algorithm. We aim to make the system more robust and user-friendly for transportation agencies. Ultimately, our goal is to have this system easily mounted on a regular car. After a simple calibration, it could automatically detect potholes during daily driving and provide real-time information for quick pothole repair decisions.

Pavement Resource Program

Q. You also contribute to the NJDOT Pavement Resource Program. What aspects of the project are you involved in, and what potential benefits could this work provide to NJDOT and the broader transportation field?

Polishing Machine. Image courtesy of Xiaoyu Zhang

A. I have been working on the Pavement Resource Program for about two years. This is a long-term research program conducted by Rutgers Pavement Lab in collaboration with NJDOT, and the goal is to understand the long-term performance of pavement surface friction and develop strategies for improving roadway safety and durability. My work involves two main components: lab testing and field data collection.

In the lab, we prepared numerous asphalt mixtures with different aggregates and material types. Then, we used an accelerated polishing machine to simulate tire wear over time for up to 50,000 cycles. Afterward, we measured the surface texture and friction to analyze how texture deterioration affects skid resistance. In the field, we conducted a survey using a high-resolution profiler to test the pavement surface texture and the friction. By comparing the lab and the field data, we aim to establish a correlation between the pavement surface texture and friction performance.

I think this project has great potential benefit for NJDOT and the broader transportation community. From the material perspective, we help identify mixtures and aggregates that maintain high friction over time, improving roadway safety and reducing maintenance costs. From the data and monitoring side, understanding how texture parameters relate to friction allows us to develop a predictive model for further friction prediction.

Q. What are the next steps for the research in the Pavement Resource Program?

A. Our next step is to continue the long-term monitoring and model development. We plan to strengthen the link between the lab and field data, and expand the dataset across more field sites, materials, and gradations. With the new data, we can develop a prediction model to estimate the pavement friction from texture parameters.

Variable Speed Limits

Q. You were also recognized with the ITSNJ 2025 Outstanding Graduate Student Award for your study of variable speed limits in adverse weather conditions. What did that study involve, and what were your key findings?

Variable Speed Limit Map. Image courtesy of Xiaoyu Zhang

A. This project’s focus on traffic safety and adverse weather conditions combined two key areas of my research: pavement surface friction and vehicle dynamic performance. We used real-time monitoring data from road weather information systems, which estimate the pavement surface friction during adverse weather such as rain and snow. Under those conditions, surface friction drops significantly, increasing the risk of skidding, especially while turning at high speed. Our goal is to develop a variable speed limit system that adapts to the real-time friction levels. To establish this, we conducted vehicle dynamic simulations, modeling vehicle cornering behavior at different speeds. This simulation allows us to determine the minimum friction demand required for safe driving under each scenario. When our sensor measures that the friction drops, we calculate an appropriate variable speed limit for that curve.

Interdisciplinary Approach

Q. Your work combines traditional engineering, computer vision, and machine learning. How does this interdisciplinary approach influence how you address transportation infrastructure challenges?

A. My goal is to bridge the gap in adapting advanced technology to solve practical, real-world engineering problems. In transportation research, machine learning is becoming increasingly popular; however, many models are black boxes, making it hard for engineers to apply the results in practice.

To address this, I focus on interpretable machine learning models, incorporating domain knowledge, to help us understand why certain patterns occur. Similarly, when using computer vision, technology like 3D reconstructions and object detection are very important, and I aim to customize them for specific engineering needs such as pothole detection, surface texture, and condition assessment. Overall, this approach allows me to bring the strengths of data science and computer vision into the context of civil and transportation engineering, creating solutions that are both innovative and grounded in engineering reality.

Future Research

Q. Are there emerging areas of research or technology you are especially interested in exploring for your dissertation?

A. For my dissertation, I aim to develop a comprehensive framework for traffic safety evaluation that integrates multiple key factors, including surface texture friction, adverse weather conditions, and vehicle dynamic performance. By combining those aspects, I hope to create a model that can more accurately assess vehicle safety performance in real-world driving conditions and provide data-driven recommendations for transportation agencies. I am also very interested in extending this research to airfield safety, exploring how runway conditions influence airplane safety. The same principles of friction and parallel interaction applies to airplane landing performance.

Xiaoyu Zhang presenting at TRB. Image courtesy of Xiaoyu Zhang

Q. Looking ahead, do you see yourself focusing more on academic research, putting your findings into practice, or a combination of the two?

A. I hope to combine both. Through research, we can discover new ideas, new methods, and technologies to expand our understanding of complex engineering problems. But, I also feel very rewarded by applying those research findings into practice to see how our ideas can directly improve safety, efficiency, and sustainability. My ultimate goal is to bridge the gap between theory and applications, turning innovative research into practical engineering solutions that benefit the public and transportation agencies.

References

Wang, Y., Yu, B., Zhang, X., & Liang, J. (2022). Automatic extraction and evaluation of pavement three-dimensional surface texture using laser scanning technology. Automation in construction141, 104410.

Zhang, X., Wang, H., & Bennert, T. (2025). Tire Polishing Effects on Rubber-Texture Contact and Friction Characteristics of Different Asphalt Mixtures. Wear, 206328.

Zhang, X. & Wang, H. (2025). Determination of Variable Speed Limit on Horizontal Curves at Adverse Weather Conditions. The TRB 105th Annual Meeting. Washington, DC.

Zhang, X. & Wang, H. (2025). Long-Term Prediction of Asphalt Pavement Surface Friction Using Interpretable Machine Learning Models. The TRB 105th Annual Meeting. Washington, DC.

Recap: 27th Annual NJDOT Research Showcase

The 27th Annual NJDOT Research Showcase brought together New Jersey’s transportation community. The event highlighted ongoing research and technology transfer initiatives conducted by NJDOT partners, including institutions of higher education, public agencies, and private-sector organizations. The event took place in-person at Mercer County Community College—with a livestreaming option—from 9:30 AM to 3:00 PM on October 29, 2025.

This year’s theme, “Preparing the Workforce for the Future,” shaped the morning plenary session. In the afternoon, the Showcase featured presentations on infrastructure, safety, and strategic workforce development and knowledge transfer, delivered by research faculty, staff, students, and private-sector representatives. NJDOT also presented several awards recognizing research and implemented innovations.

The Research Showcase Program Agenda provides more information on the day’s proceedings, including research topics, presentation abstracts, speaker biographies, and posters. Recordings of the plenary and breakout sessions, and the presentations and posters shared during the event can also be found below.

Morning Plenary

David Maruca, Program Development Coordinator, Rutgers Center for Advanced Infrastructure and Transportation (CAIT), opened the event. He covered housekeeping details, outlined the day’s agenda, and moderated the morning plenary.

Eric Powers, Assistant Commissioner of Statewide Planning, Safety, and Capital Investment, NJDOT, welcomed attendees and thanked participants, including NJDOT Bureau of Research, Innovation, and Information Transfer (BRIIT), Rutgers-CAIT, researchers, students, professors, the private-sector partners, and Mercer County Community College. He highlighted the event theme and emphasized that investing in our workforce provides the best measure for addressing future challenges.

Francis O'Connor, Commissioner, New Jersey Department of Transportation
Francis O’Connor, Commissioner, New Jersey Department of Transportation

Debra Sabatini Hennelly, Founder and President of Resiliti, gave the keynote address, “The Key to Unlocking Engagement, Collaboration, and Innovation in the Future Workforce.” She focused on emotional intelligence, supportive environments, and contextual awareness as essential components of innovation and effective organizational culture.

She opened by sharing her career trajectory, beginning as a construction supervisor for Exxon, where she learned the importance of relying on experts, coordinating complex projects, and navigating regulatory requirements. Those experiences motivated her to pursue law school, where she deepened her understanding of how context and problem-solving shape innovation.

Sabatini Hennelly emphasized that innovation thrives when people understand both their own emotions and the emotions of others. Using a Mentimeter survey, she asked the audience to reflect on how they were feeling physically, intellectually, and emotionally. She noted that many employees—particularly women—were historically expected to suppress emotions at work, producing burnout and inhibiting progress.

Debra Sabatini Hennelly, President, Resiliti

To illustrate the connection between emotional and rational thinking, she used the metaphor of a rider and an elephant: the rider represents logic and planning, while the elephant represents emotions and intuition. The rider may know the direction, but the elephant provides the momentum—meaning that people perform at their best only when emotional needs are acknowledged and aligned with goals. She linked this to workforce data showing that in 2024, 37 percent of employees left organizations due to culture and engagement, and 31 percent left due to work-life balance.

She highlighted Gallup engagement research showing that disengaged teams experience significantly higher absenteeism and more safety incidents, while engaged teams—those with a culture grounded in wellbeing and psychological safety—display greater accountability, pride, and performance. When leadership models organizational values, employees gain a sense of ownership and responsibility.

Sabatini Hennelly cited Amy Edmondson’s The Fearless Organization and Tim Clarke’s The Four Stages of Psychological Safety. She emphasized the importance of environments where employees feel safe to learn, contribute ideas, and challenge assumptions without fear of retaliation or embarrassment. Breaches in psychological safety lead to apathy, reduced commitment, and lost productivity. She stressed that open communication is the “nervous system” of an organization—vital for decision-making and innovation.

She concluded by highlighting the challenges and opportunities of today’s multi-generational workforce. She encouraged leadership to recognize and adapt to different communication preferences while finding common ground through shared goals. Using the failed Tacoma Narrows Bridge and the successful push-to-start ignition button as examples, she showed how listening to diverse perspectives and combining technical expertise with empathy drives innovation. She emphasized that preparing the future workforce requires building both skills and supportive cultures. Employees should feel valued and empowered to contribute.

The plenary session continued with an interactive panel discussion, “How Are New Jersey Transportation Agencies Preparing the Workforce for the Future?” Representatives from NJDOT, NJ TRANSIT, and the private sector discussed how their organizations are supporting current and future staff. Topics included:

Morning Panel
  • Creating growth opportunities for early-career employees
  • Sharing institutional knowledge across generations
  • Recruiting and retaining talent
  • Fostering innovative and supportive workplace cultures
  • Adapting to new technologies and practices, including AI

Panelists included:

  • Anthony Ennas, Senior Director of Statewide Operations, NJDOT
  • Rebecca Savelli, Human Resources Manager II, NJDOT
  • Savita Lachman, Deputy Chief Human Resources Officer, NJ TRANSIT
  • Christen Thomas, Senior Manager, Deloitte Consulting LLP

Panelists answered questions from the moderator and attendees on topics such as AI, workforce policy limitations and other organizational or policy constraints, and knowledge retention.

Morning plenary included: Christen Thomas, Senior Manager, Deloitte Consulting LLP; Savita Lachman, Deputy Chief Human Resources Officer, NJ TRANSIT; Rebecca Savelli, Human Resources Manager II, NJDOT; Anthony Ennas, Senior Director of Statewide Operations, NJDOT (left-to-right)
Awards Ceremony

Dr. Giri Venkiteela, Innovation Officer at NJDOT, presented awards recognizing research, innovation, and implementation efforts throughout New Jersey.

2025 Outstanding University Student in Transportation Research Award

Recipient: Xiaoyu Zhang, Rutgers University

Recognized for his contributions to the NJDOT-sponsored Innovative Pothole Repair Materials and Techniques project and the Pavement Resource Program. His work included helping to develop a low-cost 3D multi-camera imaging system that rapidly scans for potholes.

2025 NJDOT Research Implementation Award

Recipient: Dr. Hao Wang, Rutgers University, Innovative Pothole Repair Materials and Methods

This project demonstrated that pre-heating pavement prior to repair improves bonding between existing asphalt pavement and patch materials, reducing the need for re-patching and resulting in cost savings for NJDOT. The project also received a 2024 AASHTO Supplementary National High Value Research Award.

2025 Best Poster Award

Recipient: Md Tufajjal Hossain, New Jersey Institute of Technology
Poster: Harsh Braking as a Surrogate for Crash Risk: A Segment Analysis with Connected Vehicle Telematics.

The research compared connected vehicle telematics with New Jersey police crash report data to identify roadway segments where harsh braking indicates higher crash risk. This information allows transportation agencies to take proactive measures to prevent crashes before they occur.

2025 NJDOT Build a Better Mousetrap (BABM) Award

Recipients: Jack Longworth, Cheryl Goldman, Vandana Mathur, Michael Juliano, Shawn Mount, and Chrystal Section, NJDOT Division of Mobility Engineering and Operations
Innovation: Safety Service Patrol—Picture Language Flashcards

The team was recognized for developing picture-based language flashcards that enable Safety Service Patrol (SSP) staff to communicate with people with limited English proficiency in emergency situations. The flashcards include descriptive images and translations into 12 languages. The Showcase featured a short video explaining their development and demonstrating their use.

NJDOT also took this opportunity to acknowledge two projects that received national recognition:

2025 National High Value Research Awards

Innovative Techniques and Materials for Preventing Concrete Shrinkage Cracking
AASHTO Honorable Mention Award in Supplemental Maintenance, Management and Preservation

Principal Investigators: Gilson Lomboy, Shiho Kawashima, Douglas B. Cleary, and Cheng Zhu
Research Project Manager: Giri Venkiteela
Technical Advisory Panel:
Yong Zeng and Emmanuel Bassey

Real-time Traffic Signal System Performance Measurement
AASHTO Honorable Mention Award in Supplemental Safety, Security and Emergencies, and Maintenance

Principal Investigators: Peter J. Jin, Mohammed Jalayer, and Thomas Brennan
Research Project Manager:
Priscilla Ukpah
Technical Advisory Panel:
Kelley McVeigh and Hirenkumar Patel

2025 Outstanding University Student in Transportation Research Award
2025 NJDOT Research Implementation Award
2025 Best Poster Award
2025 BABM Award
2025 National High Value Research Awards: Innovative Techniques and Materials for Preventing Concrete Shrinkage Cracking
2025 National High Value Research Awards: Real-time Traffic Signal System Performance Measurement
Infrastructure Sessions

Safety Sessions

New Jersey Micromobility Guide (2025)

Presenters: Hannah Younes & Sam Rosenthal, Rutgers University …

Harsh Braking as a Surrogate for Crash Risk: A Segment-Level Analysis with Connected Vehicle Telematics

Presenter: Md Tufajjal Hossain, New Jersey Institute of Technology …

Workforce Development Sessions

Mapping the Future: GIS and GPS Applications for Modern Engineering and Surveying

Presenter: Avinash Prasad & Indira Prasad, New Jersey Institute of Technology & Stevens Institute of Technology …

Introducing Transportation Careers to Youth in New Jersey

Presenter: Todd Pisani, Rutgers University …

GPI’s Workforce Development Challenges and Solutions

Presenter: Dave Wagner & Dave Kuhn, Greenman Pedersen, Inc …

Multi-Agent Large Language Model Framework for Code-Compliant Infrastructural Design

Presenter: Jinxin Chen, Stevens Institute of Technology …

POSTERS
(click images for PDF)

Developing a Sensor-Based Mapping System for Soil Characterization
Electric Curing of Concrete at Subfreezing Temperature (Lab Scale)
Electric Curing of Concrete: Methodology, Validation, and Field Scale-Up
Evaluating State DOT Practices and Priorities in Pavement Marking Implementation and Maintenance: Insights from Multi-State Interviews and Comparative Analysis
From Data to Decisions: Engineering Intelligence for AI-Enabled Bridge Maintenance and Workforce Excellence
Harsh Braking as a Surrogate for Crash Risk: A Segment-Level Analysis with Connected Vehicle Telematics
Integrated Evaluation of Distracted Driving and Seatbelt Non-Use Among Truck Drivers in New Jersey: Insights from Field Observations and Crash Data Analytics
Introducing Transportation Careers to Youth in NJ
Microwave Heating for Concrete Demolition: Experimental and Empirical Study
Protecting Critical Infrastructure: Combined Seismic-Rainfall Landslide Assessment and Advanced Stabilization Technologies for New Jersey Transportation Corridors
Rock Mass Grouting for Coastal Infrastructure

NJDOT Project Earns Recognition as Finalist for America’s Transportation Award


For 18 years, the American Association of State Highway and Transportation Officials (AASHTO) has hosted the America’s Transportation Awards, celebrating the essential role state DOTs play in strengthening the nation’s transportation system. The program recognizes projects in four categories: Quality of Life/Community Development, Operations Excellence, Best Use of Technology & Innovation, and Safety.

AASHTO recently announced that NJDOT is one of twelve finalists selected from a pool of 113 projects in the 2025 competition. NJDOT’s Wildwood Maintenance Dredging and Channel Improvement Project earned recognition in the Best Use of Technology & Innovation category for its creative dredging and dewatering methods. The project will now compete for the National Grand Prize of $10,000.

Project Synopsis

The project focused on dredging Wildwood channels, which had been heavily impacted by Superstorm Sandy in 2012. Storm-induced sediment buildup made the channels hazardous for both commercial and recreational boaters. Residents noted that at low tide, boats could run aground due to shallow depths.

To restore safe navigation, NJDOT faced tight seasonal constraints. Work could only occur in the fall and winter months to ensure that the channels were open for the summer boating season. With seven channels spanning multiple municipalities, the team needed an efficient and innovative solution for dredging and sediment management.

The NJDOT team deployed a system of dredging barges, high-density polyethylene (HDPE) dredge pipes, hydrocyclones, and geobags to complete the work.

Collection and Transportation

Dredging Boat and HDPE Dredge Pipe. Source: Wildwood Video Archives

The team employed dredging barges to remove sediment from the channel floor and transport it to inland staging areas via HDPE dredge pipes. The pipes carried large amounts of water alongside the reusable sand and other minerals contained in the sediments.

Water Separation

At the shore, the team utilized hydrocyclones to apply centrifugal force to remove most of the water from the sediments. This step reduced the overall volume of material requiring dewatering and transport.

Dewatering

Finally, the NJDOT team transferred the sediment solids into geobags—large, permeable fabric containers and used a separate pump to add a polymer solution, which acted as a flocking agent. The polymer caused fine particles to bind together into clumps, which then sank to the bottom of the geobags. Tiny porous holes in the fabric allowed water to drain out while retaining the sediments solids.

Geobags. Source Wildwood Video Archives.

Results

This innovative system allowed NJDOT to complete the project on schedule, enabling commercial boaters to resume operations in summer 2024 without interruption. By combining efficient transport and dewatering methods, the team not only met a challenging seasonal window but also maximized the value of recovered materials. The collected sand and minerals were transported to other sites for use in future shore protection projects—demonstrating NJDOT’s commitment to both timely delivery and long-term coastal resilience.

Vote Now!

The winners of America’s Transportation Awards will be announced at the AASHTO Annual Meeting this November. In addition to the National Grand Prize, the public can help decide the People’s Choice Award.

You can vote for NJDOT’s
Wildwood Maintenance Dredging
and Channel Improvement Project.

Voting closes on November 17, 2025.


Resources

New Jersey Department of Transportation. (2025). Two NJDOT projects win 2025 Regional America’s Transportation Awards. https://dot.nj.gov/transportation/uploads/comm/news/details/comm_np_20250715_132841_TwoNJDOTprojectswinregional2025AmericaTransportationAwards.pdf

Wildwood Video Archives. (2025). Dredging the Wildwoods Back Bays 2024. https://www.youtube.com/watch?v=_hRvfzm-dZ8

Lowe, C. (2022). What is a hydrocyclone used for and how does it work? Weir Group. https://www.global.weir/newsroom/global-news/what-is-a-hydrocyclone-used-for-and-how-does-it-work/

Omar, N. (2024). How to optimize dewatering processes with GEOTUBE technology: A comprehensive guide. Solmax. https://www.solmax.com/global/en/blog/how-to-optimize-dewatering-processes-with-geotube-technology-a-comprehensive

27th Annual NJDOT Research Showcase – Register Now!

This year’s event will be held in-person at Mercer County Community College – The Conference Center at Mercer, in West Windsor, NJ. The event will also be livestreamed for those unable to attend in person. PDH credit will only be provided to in-person attendees. You will be asked to select in-person attendance or virtual attendance when you register. Information on accessing the livestream will be provided in registration reminder emails.

AGENDA

9:30 AMIntroduction and Housekeeping

David Maruca, Program Development Administrator, Rutgers Center for Advanced Infrastructure and Transportation
9:40 AM  Welcoming Remarks

Eric Powers, Assistant Commissioner Statewide Planning, Safety and Capital Investment, New Jersey Department of Transportation
9:45 AM  Opening Remarks 

Francis K. O’Connor, Commissioner, New Jersey Department of Transportation
9:50 AMKeynote Address

Debra Sabatini-Hennelly, Resiliti 
10:30 AMBreak
10:45 AM    Panel Discussion

Moderator:  David Maruca, Program Development Administrator, Rutgers Center for Advanced Infrastructure and Transportation  

Panelists:
Anthony Ennas, Senior Director of Statewide Operations, New Jersey Department of Transportation 
Kelly Hutchinson, Assistant Commissioner of Human Resources, New Jersey Department of Transportation 
Savita Lachman, Deputy Chief of Human Resources for New Jersey Transit 
Christen Thomas, Senior Manager, Deloitte Consulting LLP 
11:45 AM  Presentation of 2025 Awards

2025 Outstanding University Student in Transportation Research Award  
2025 NJDOT Research Implementation Award  
2025 Best Poster Award  
2025 NJDOT Build a Better Mousetrap Award  
2025 NJDOT Research Excellence Award(s) 
2025 AASHTO High Value Research Supplemental Award(s) 
12:00 PM  Buffet Lunch/Break
1:00 PM   Concurrent breakout sessions  

Safety
Infrastructure
Workforce Development and Knowledge Management
Poster Exhibit
3:00 PMAdjourn

The NJDOT Research Showcase is an event of the New Jersey Department of Transportation’s Bureau of Research, Innovation & Information Transfer and organized by the Rutgers Center for Advanced Infrastructure and Transportation (CAIT).

NJDOT’s Pilot Program for Internally Cured High Performance Concrete for Bridge Decks – FHWA Webinar

On August 27, 2025, the FHWA hosted a webinar titled “NJDOT’s Pilot Program for Internally Cured High Performance Concrete for Bridge Decks.” NJDOT Project Manager and Infrastructure Preservation CIA team lead Samer Rabie presented the department’s internally cured concrete (ICC) initiative.

The webinar highlighted NJDOT’s work as a case study for more than 300 participants nationwide, enabling agencies to learn from New Jersey’s experience with ICC and consider applications in their own states. After Mr. Rabie’s presentation, attendees asked questions about the EPIC2 initiative, including advice on how to achieve even water distribution, the expected life span of High Performance Internally Cured Concrete (HPIC) bridge decks, and whether internal curing techniques could be applied to other types of concrete.

Webinar Presentation

Transverse early-age cracking

As part of Round 6 of the Every Day Counts (EDC) initiative, NJDOT began implementing Ultra High Performance Concrete (UHPC) for Bridge Preservation and Repair, with plans to institutionalize its use in the upcoming bridge design manual. UHPC’s low water-cement ratio and high use of supplementary cementitious materials (SCMs) increase durability and extend service life, but also raise the risk of transverse early age cracking. This cracking results from autogenous shrinkage, when the cement consumes too much internal water, creating capillary stresses.

Cracks in UHPC bridge decks require costly, time-intensive sealing that must be reapplied every five to ten years, significantly increasing life-cycle costs. To address this issue, FHWA launched the Enhancing Performance with Internally Cured Concrete (EPIC2) initiative under EDC-7. Internal curing uses pre-wetted lightweight fine aggregate (LWFA) to supply additional moisture, improving water distribution and offsetting capillary stresses during the curing process. More than 30 years of studies show that internal curing enhances durability, lowers costs, and reduces waste.

Over 180 EPIC2 Bridge Decks are in service according to FHWA

To date, more than 15 states have deployed internal curing on over 180 bridge decks. NYSDOT, an early adopter of HPIC, reported a 70 percent reduction in early-age cracking with no added cost compared to conventional HPC or UHPC decks. NYSDOT has since mandated internal curing for all continuous bridges and bridge decks statewide. In May 2024, Mr. Rabie participated in a New York State peer exchange on the EPIC2 initiative in Albany.

NJDOT launched its HPIC implementation plan by reviewing existing research, assessing resources and mix plants, and conducting extensive coordination—internally with subject matter experts and divisions, and externally with LWFA suppliers, producers, and contractors. NJDOT also conducted risk evaluations and identified candidate bridges for potential pilot projects.

To support implementation, NJDOT secured a $125,000 STIC Incentive Grant, which funded the purchase of centrifuge apparatuses, staff training, and third-party lab support. The centrifuges measure LWFA moisture content, replacing the traditional “paper towel method,” in which pre-wetted aggregate is weighed, dried manually with industrial-grade paper towels until no moisture remains, and then oven-dried before an assessment is made of surface and absorbed moisture. While the centrifuge approach requires specialized equipment and training, it is significantly faster, less labor-intensive, and more accurate. NJDOT will phase in this method as staff gain experience.

NJDOT has identified 11 candidate bridges for HPIC pilot projects: one under construction, eight in design, and two in concept development. The active pilot—North Munn Avenue over I-280 in East Orange—features twin bridge decks, one built with UHPC and the other with HPIC, enabling a direct comparison under similar conditions.

Twin bridge deck pilot at North Munn Avenue over I-280 in East Orange

Alongside pilot projects, NJDOT is developing materials and construction guide specifications for HPIC. These include substituting 30–50 percent of total fine aggregate with LWFA, establishing a formula to measure absorbed LWFA moisture, and targeting a water content equal to 7 percent of the volume of cementitious materials. Aside from these adjustments, HPIC batching mirrors current UHPC practices.

Early HPIC bridge decks are expected to carry added upfront costs: approximately $50,000 for new mix design, trial batches, and test slabs to validate the process before construction, plus a 20–40 percent increase in unit production costs. Mr. Rabie noted that costs should decrease as specifications are refined, experience grows, and economies of scale take effect.  While initial expenses may be higher, HPIC is projected to deliver substantially lower life-cycle costs, primarily by reducing resealing, which can cost around $100,000.

NJDOT’s next steps include a concrete plant outreach program in fall 2025, followed by HPIC workshops and centrifuge training in winter 2025/2026. The department will also continue to assess potential pilot projects through 2025–2026 and monitor the performance of active HPIC bridge deck projects.

Q&A

Q. Will HPIC extend the expected 25-year life span of a bridge deck?

A. The study is assessing how much maintenance HPIC bridge decks require over a 25-year lifespan. Preliminary findings suggest HPIC decks may require only about one-third the maintenance of conventional decks. NJDOT’s Bureau of Research, Innovation, and Information Transfer (BRIIT), in partnership with Rutgers University, is conducting a separate study evaluating how HPIC could extend overall service life. Early findings from NYSDOT suggest HPIC bridge decks may last up to 75 years.

Q. In South Carolina, we have faced difficulties achieving a uniform distribution of moisture for our pre-wetted lightweight fine aggregate using conventional methods like sprinklers. Do you have any suggestions on ways to fix this issue?

A. Some states have tried alternative methods for wetting LWFA. In Louisiana, for example, large bins are filled with water—like a small pool—and the aggregate is soaked for a set period to ensure uniform moisture distribution, rather than using sprinklers.

Q. Can internal curing be used on conventional concrete or is it just for HPC and UHPC?

A. Internal curing could technically be applied to conventional Class A concrete, but it is generally unnecessary. Class A concrete already contains higher water content, reducing its susceptibility to autogenous cracking. UHPC, being relatively moisture starved, benefits most from internal curing.

Q. Does NJDOT have set shrinkage limits?

A. Shrinkage is assessed project-by-project. After crack mapping is completed, a percentage of shrinkage is calculated, but there is no set limit.


A recording of the FHWA webinar is available here.

For more about HPIC and EPIC2, read the NJDOT Tech Transfer Q&A article with Samer Rabie and Jess Mendenhall.

Join the USDOT Ideas and Innovation Challenge!


The U.S. Department of Transportation has announced an open call for proposals for their Ideas and Innovation Challenge. The Challenge seeks research and development innovations that enhance safety, resiliency, efficiency, and technological advancement in transportation. Selected winners will receive cash prizes for their proposals.

Proposals can address one of four focus areas:

  1. Knowledge: Tools that help infrastructure operators to fully understand their transportation infrastructure systems
  2. Construction: Approaches for building infrastructure more safely, quickly, cost-effectively, and with greater longevity
  3. Optimization: Solutions to optimize the movement of people and goods at scale in real time, improving safety, performance, and cost-efficiency, leveraging connectivity and automation
  4. Enabling and Foundational Technologies: Technologies that lay the groundwork for future transportation innovations

The Challenge has two stages. In Stage 1, participants submit an innovative transportation technology concept paper. Winners from Stage 1 move on to Stage 2, where they can submit a detailed R&D plan and present their project at an event in early 2026.

The submission deadline for the Ideas and Innovation Challenge is September 17, 2025. For more information and to apply, visit here.


27th Annual NJDOT Research Showcase – Call for Abstracts!

To be considered, please email your proposed presentation topic(s) with accompanying abstracts to Janet Leli (jleli@soe.rutgers.edu), Director of the New Jersey Local Technical Assistance Program, no later than September 18, 2025.

■  Title and abstract of the presentation
■  Name and email address of the person who will be presenting
■  The category your project most closely aligns with:

■  Any additional information you feel is necessary

All submitters will receive a confirmation regarding the selection committee’s final decisions.

Further information is available on the Research Showcase event website, including a call for posters and nomination forms for awards in research implementation and outstanding university student achievement.  Details about the respective deadlines for each of these submissions will be available on the event website. Registration will be open soon.

Thank you for your interest in and support of the NJDOT Transportation Research Program.


The NJDOT Research Showcase is an event of the New Jersey Department of Transportation’s Bureau of Research, Research, Innovation & Information Transfer (BRIIT) and is organized by the Rutgers Center for Advanced Infrastructure and Transportation (CAIT).