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.

NJ STIC 2025 3rd Triannual Meeting

The NJ State Transportation Innovation Council (NJ STIC) gathered virtually for its third Triannual Meeting of 2025 on December 10. The Core Innovation Area (CIA) Teams presented updates on progress towards the Every Day Counts Round 7 (EDC-7) goals and Konstantinos Kyros, Operations Analyst for Mobility Planning and Research at NJDOT, delivered the meeting’s featured presentation, Advancing Innovation: NJDOT Mobility Research and Planning.

Welcome Remarks

Eric Powers, Assistant Commissioner at NJDOT, provided the welcoming remarks for the STIC meeting. He reviewed the meeting agenda, highlighted the importance of delivering projects more quickly and more cost-effectively amid uncertainty surrounding the federal fiscal bill, and expressed optimism for NJDOT’s innovative initiatives.

FHWA Updates

Christopher Paige, Innovation Coordinator and Community Planner at the FHWA NJ Division Office, provided updates and thanked attendees for submitting STIC Incentive project reports in on-time. Mr. Paige reported that the federal government awarded a $97,147 STIC Incentive Grant to the New Jersey Sports and Exposition Authority to optimize adaptive system performance and improve travel time using the ATSPM Module. These funds will support New Jersey’s preparations for the upcoming 2026 FIFA World Cup.

He also noted that the FHWA Division Office has not yet received updates regarding Round 8 of Every Day Counts (EDC-8) and will follow up with stakeholders once more information becomes available.

Core Innovation Areas (CIA) Updates

The CIA Teams provided updates on progress toward deployment goals for their respective innovation efforts. Representatives from NJDOT and FHWA discussed EDC-7 initiatives organized under the five CIA teams: Safety, Planning and Environment, Infrastructure Preservation, Mobility and Operations, and Organizational Support and Improvement. Each team outlined current projects, highlighting implementation efforts, key achievements, and challenges. A summary of each team’s update follows:

Safety

Pedestrian Scale Lighting Research & Guide. Researchers from the Alan M. Voorhees Transportation Center (VTC) at Rutgers University, in partnership with Rowan University, continue to edit and revise a draft pedestrian-scale lighting resource. The guide is intended to help communities identify, scope, and evaluate safety and community needs prior to implementing best practices in pedestrian-scale lighting design. The project team is incorporating subject matter experts (SME) comments and finalizing the resource.

Traffic signals with retroreflective backplates

Nighttime Visibility for Safety. In collaboration with other NJDOT review units, the Division of Traffic Engineering is finalizing design details for traffic signal poles and mast arms in compliance with the 2015 AASHTO LRFD requirements for signalized intersection. Design improvements include enhanced integration of backplates with retroreflective tape on signal indications.

Planning and Environment

Congestion Mitigation and Air Quality Improvement Program (CMAQ) and Carbon Reduction Program (CRP). NJDOT has advanced initiatives designed to ease congestion, enhance air quality, and support the adoption of low-emission technologies. CMAQ priorities include public transit expansion, intersection improvements, intelligent transportation systems, and electric vehicle incentives. CRP efforts emphasize battery-electric buses, Complete Streets projects, and the transition of municipal fleets to greener technologies. Upcoming goals include accelerating project implementation, deploying AI-based traffic management strategies, and expanding collaboration with MPOs and NJDEP.

Infrastructure Preservation

Internally Cured Concrete Mix

Enhancing Performance with Internally Cured Concrete (EPIC2). The team has awarded contracts to two bridge projects using HPIC bridge decks: CR507 (Maple Ave), Bridge Over Rt. 208; and CR 650 (Hanover Ave), Bridge Over I287. NJDOT will also host a workshop on the fundamentals on internal curing (January 2026), and a regional materials engineers and technicians training (February 2026).

Next quarter, the CIA Team plans to monitor construction of the HPIC-cast trail slabs for the bridge at North Munn Avenue. A key challenge has been reluctance among concrete suppliers to produce HPIC due to concerns over stringent NJDOT specifications. To address this issue, NJDOT will launch a strategic outreach plan that includes meetings and technical discussions between NJDOT SMEs and industry stakeholders.

Mobility and Operations

Traffic Incident Management (TIM) Technology. NJDOT has deployed TIM technology across numerous projects and initiatives, including installing light towers on NJDOT Incident Management Response Trucks (IMRT), using LED flares at incident sites, and partnering with Drivewyze to provide real-time notifications to truck drivers about stopped queues and slowdowns. The Mobility and Operations Team plans to integrate innovative activities into the NJDOT Intelligent Transportation System/Traffic Operations work programs. An additional initiative includes expanding TIM Emergency Responder Training. More information is available at njtim.org/NJTIM.

Organizational Support & Improvement

Strategic Workforce Development. The initiative remains in the development stage. Although FHWA has approved funding, disbursement delays have occurred due to funding pauses and other constraints. NJDOT is working with its Division of Procurement and has partnered with NJDOL’s Workforce Development Services to advance training and apprenticeship preparation programs.

In August 2025, NJDOT met with the Contractor Compliance Unit to discuss union engagement, apprenticeship programs, workforce aging, and strategies to increase participation. The team plans to host a dual open house in early 2026 for individuals interested in working on NJDOT construction projects.

Feature Presentation: Advancing Innovation–NJDOT Mobility Research and Planning

Konstantinos Kyros, Operations Analyst for Mobility Planning and Research at NJDOT, delivered the meeting’s feature presentation, outlining projects and initiatives led by the Mobility and Operations CIA Team.

Projects discussed include:

  • Weather Savvy Roads Pilot
  • Groundcast
  • Truck Parking Pilot
  • Deployment of new technologies, including Streetlight Insight, HAAS – Digital Alerts, and LiDAR

Weather Savvy

NJDOT has deployed Internet of Things (IoT) and Connected Vehicle (CV) technology on a fleet of state vehicles to support real-time road weather management. Sensors collect data during daily operations, with a focus on snowplows that remain active during weather events. Installations began in December 2023 on 24 vehicles and have expanded to 45, evenly distributed statewide.

Tablet used in the Weather Savvy pilot

The system uses Vaisala MB30 road weather sensors to capture road surface condition and temperature, air temperature and humidity, and roadway grip. Data are visualized on tablets and an online portal to support analysis and decision-making.

Recent upgrades improved durability and reliability issues by relocating components into a protected plexiglass junction box and rewiring the system to allow direct data transfer between the modem and data cloud, reducing points of failure. The platform also includes live camera feeds of road conditions, with a transition underway from bullet to dome cameras for greater stability.

Groundcast

NJDOT is piloting Vaisala Groundcast weather sensors that measure surface temperature, surface condition, and the presence of treatment materials on the roadway. The sensors use internal batteries with a three-year lifespan and transmit data via cellular communication. Installations have been completed at NJ-12 westbound MP 0.4, NJ-12 eastbound MP 1.5, NJ-23 northbound MP 47.7, and I-295 northbound MP 57.6.

Truck Parking Pilot

NJDOT launched its truck parking pilot in 2021 at the Harding Rest Area to provide truck drivers with real-time information on available parking spaces and reduce unsafe parking practices. The program expanded to the Deepwater Rest Area in Carney’s Point in summer 2023, and NJDOT began installing sensors at the Knowlton Rest Area in December 2025.

Parking availability is detected using CCTV cameras and in-pavement micro-radar sensors. Portable dynamic message signs (DMS) placed approximately five miles from Harding along I-287 and I-78 alert drivers of the number of available spaces.

At Harding, the system includes two traffic microwave sensors, nine CCTV cameras, and 44 in-pavement sensors. The Deepwater site includes two traffic microwave sensors, one CCTV camera, and 68 in-pavement sensors. The Knowlton site includes two traffic microwave sensors, four CCTV cameras, and 46 in-pavement sensors. A truck parking dashboard provides systemwide monitoring, displaying total vehicles counts, occupied spaces, average occupancy, and live CCTV feeds.

Other Technology

Other initiatives include partnering with StreetLight Insight, a web-based platform that uses connected device and IoT data to measure vehicle, transit, bicycle, and pedestrian activity. NJDOT has also deployed HAAS Digital Alerts in all Safety Service Patrol (SSP) vehicles to monitor vehicle status and location and to help motorists identify SSPs through navigation apps, with plans to expand deployment to IMRTs. Additionally, NJDOT has installed LiDAR on one SSP vehicle to remotely measure distances and monitor compliance with the Move Over law.

Announcements and Reminders

Submit Your Research or Innovative Idea!

Share your innovative, research, or market-ready ideas using one of the forms available here.

Next Meeting

The NJ STIC 1st Triannual Meeting of 2026 has not yet been scheduled. The Planning and Environment CIA Team will deliver the feature presentation. Giri Venkiteela, Innovation Officer at NJDOT, will contact stakeholders once a date is selected.

A recording of the NJ STIC 2025 3rd Triannual Meeting is available here. The meeting’s presentation slides are available below.

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.

27th Annual NJDOT Research Showcase

The 27th New Jersey Department of Transportation Research Showcase is an opportunity for New Jersey’s transportation community to experience the broad scope of ongoing academic research initiatives and share technology transfer activities being conducted by institutions of higher education (IHE) partners and their associates. It also serves to highlight the benefits of transportation research, including NJDOT’s own program.

This year’s event will feature presentations on cutting-edge research and innovations in New Jersey across three topics: Infrastructure, Safety, and Strategic Workforce Development, and Knowledge Management.

Below are the presentations, each featuring an abstract of the research topic, a presenter biography, and a link to the presentation slides.


1:00 – 1:20 PM
Evaluating Storage Stability and Performance Characteristics of Recycled Composite Plastic Modified Asphalt Binders
Presenter: Sk Md Imdadul Islam, Rowan University

1:30 – 1:50 PM
Evaluating Internally Cured High-Performance Concrete Life Cycle Cost Savings in New Jersey Bridges
Presenter: Kaan Ozbay, New York University

2:00 – 2:20 PM
Real-time Monitoring of Far-Field Concrete Cracks Using Distributed Acoustic Sensing
Presenter: Yao Wang, Stevens Institute of Technology

2:30 – 2:50 PM
Beyond the Clock: Sustainable Solutions for Returned Ready-Mix Concrete
Presenter: Mohamed Mahgoub, NJIT


1:00 – 1:20 PM
New Jersey Micromobility Guide (2025)
Presenter: Hannah N. Younes & Sam Rosenthal, Rutgers University

1:30 – 1:50 PM
Time-to-failure and Socioeconomic Data Analysis for Bridge Assessment and Funding Allocation
Presenter: Lawrencia Akuffo, Rowan University

2:00 – 2:20 PM
A Multi-State Auxetic Metamaterial with Enhanced Stability and Energy Absorption
Presenter: Linzhi Li, Stevens Institute of Technology

2:30 – 2:40 PM
Harsh Braking as a Surrogate for Crash Risk: A Segment-Level Analysis with Connected Vehicle Telematics
Presenter: Md Tufajjal Hossain, NJIT

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

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.
New Jersey Micromobility Guide (2025)

New Jersey Micromobility Guide (2025)

Presenters: Hannah Younes & Sam Rosenthal, Rutgers University

1:00 – 1:20 PM
Mapping the Future: GIS and GPS Applications for Modern Engineering and Surveying
Presenters: Avinash Prasad and Indira Prasad, NJIT and Stevens

1:30 – 1:50 PM
Introducing Transportation Careers to Youth in New Jersey
Presenter: Todd Pisani, Rutgers University

2:00 – 2:20 PM
GPI’s Workforce Development Challenges and Solutions
Presenter: Dave Wagner and Dave Kuhn, Greenman-Pederson, Inc

2:30 – 2:20 PM
Multi-Agent Large Language Model Framework for Code-Compliant Infrastructural Design
Presenter: Jinxin Chen, Stevens Institute of Technology

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

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

Introducing Transportation Careers to Youth in New Jersey

Presenter: Todd Pisani, Rutgers University
GPI’s Workforce Development Challenges and Solutions

GPI’s Workforce Development Challenges and Solutions

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

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

New Jersey Micromobility Guide (2025)

Presenters: Hannah Younes & Sam Rosenthal

Organization: Rutgers University


Abstract:

The New Jersey Micromobility Guide serves as a resource for micromobility users across the state, collecting and summarizing the laws and safety best practices that can make riders safer. Micromobility, which includes e-bikes, e-scooters, and other low-speed devices, is an affordable, energy-efficient, eco-friendly alternative to driving. For short-distance travel, micromobility can replace car trips, thus lowering transportation costs and helping to reduce congestion and car parking demand on local streets. For longer trips, this guide clarifies if and how micromobility riders can bring their devices onto public transportation. By providing tips, answering common questions, and clarifying how different devices are regulated, this guide serves as a resource that promotes the safe and legal use of e-bikes, e-scooters, and other forms of micromobility throughout New Jersey. 

NJDOT Bicycle and Pedestrian Resource Center. (2025).  New Jersey Micromobility Guide. Retrieved from https://njbikeped.org/new-jersey-micromobility-guide-2025  


Dr. Hannah Younes is a Senior Research Specialist at the Voorhees Transportation Center in the Edward J. Bloustein School of Planning and Public Policy, Rutgers University. Her research interests revolve around sustainable and safe transportation. In her role at Rutgers University, Dr. Younes focuses on crash and medical records research, built environment and geometric roadway design, and active travel research. She has qualitative methodological experience with focus groups, surveys, and interviews and quantitative methodological expertise with statistical regression methods. Dr. Younes has extensive experience interviewing transportation practitioners in numerous fields, including state departments of transportation, transit agencies, municipal engineers, and academic researchers. Before coming to Rutgers, she was a research assistant for the Maryland Transportation Institute (MTI) in the Department of Civil and Environmental Engineering at UMD, focusing on transport geography issues.

Samuel Rosenthal, AICP, is a Research Project Coordinator at the Alan M. Voorhees Transportation Center at Rutgers University. As a staff member at the New Jersey Bicycle and Pedestrian Resource Center (NJ BPRC), Sam contributes to planning for safe, equitable, and accessible active transportation in New Jersey. Sam conducts literature reviews and research to identify and synthesize best practices for a range of transportation planning topics. He has experience with public engagement including conducting walk and bike audits, facilitating focus groups, and creating, programming, and analyzing surveys for projects related to active transportation and transit. Sam’s recent projects have focused on developing resources related to e-bike and e-scooter legislation and safety, as well as research on Complete Streets approaches that improve safety for those with autism spectrum disorder and intellectual and developmental disabilities.


Presentation Slides:

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

Presenter: Avinash Prasad & Indira Prasad

Organization: New Jersey Institute of Technology &
Stevens Institute of Technology


Abstract:

Geospatial technologies such as Geographic Information Systems (GIS) and Global Positioning Systems (GPS) are transforming the landscape of engineering and surveying, offering powerful tools for precision, efficiency, and data-driven decision-making. GPS enables accurate location tracking through satellite-based positioning, while GIS integrates spatial data with descriptive attributes to create dynamic maps and analytical models. 

This presentation explores the practical applications of GIS and GPS in contemporary engineering and surveying, encompassing land management, infrastructure planning, environmental monitoring, and asset tracking. It highlights how these technologies streamline workflows, enhance communication, and support smarter project execution. 

As the industry evolves, proficiency in geospatial tools is becoming essential for engineers and surveyors. This work highlights the importance of interdisciplinary training, hands-on experience, and digital literacy in preparing the workforce for emerging roles in innovative infrastructure systems. By bridging technical innovation with skill development, GIS and GPS are not only reshaping how we build, but also who builds it. 


Dr. Avinash Prasad is a Licensed Professional Engineer, Land Surveyor, and Professional Planner with over 30+ years of experience in civil engineering, land surveying, and management. He is a registered Land Surveyor in New York and Connecticut (since 2017 and 2004, respectively) and holds a Ph.D. in Civil Engineering from New York University. He also has dual Master of Science degrees in Civil Engineering and Engineering Management from the New Jersey Institute of Technology, as well as a Bachelor of Science degree in Civil Engineering. In addition to his engineering credentials, Mr. Prasad holds certifications as a certified Emergency Medical Technician (EMT), Emergency Medical Responder (EMR), firefighter (FF), and CPR/AED administrator in New Jersey. He is a Fellow of the American Society of Civil Engineers and an active member of several professional organizations, including AREMA, PMI, AISC, IPWE, IRT, and IIBE. His technical work has been widely recognized, with publications and presentations through ASCE, AREMA, Railway Age, and Railway Track & Structures. 

Indira Prasad is a dynamic change agent and accomplished expert in project management, sustainability, and infrastructure, with decades of experience spanning both public and private sectors. At the City of New York, as Associate Director, she leads high-impact initiatives that drive innovation and organizational improvement. She holds a Master of Arts from Harvard University, a dual Master’s in Engineering and Technology Management, an MBA in Operations Management, and a Bachelor’s in Computer Science and Engineering. Indira is currently a Ph.D. candidate in Civil and Environmental Engineering at Stevens Institute of Technology, where her research focuses on sustainable and resilient infrastructure, life cycle assessment, urban transportation, climate resilience, and the integration of artificial intelligence in civil engineering. Indira holds multiple professional certifications, including PMP, CMQ/OE, ENV-SP, and Six Sigma Lean and Black Belt. Her technical work has been widely recognized, with publications and presentations through ASCE, AREMA, ISI, and Railway Age. 


Presentation Slides:

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Time-to-failure and Socioeconomic Data Analysis for Bridge Assessment and Funding Allocation

Presenter: Lawrencia Akuffo

Organization: Rowan University


Abstract:

This study examines the structural health and socioeconomic variables influencing the condition of all bridges in New Jersey. Starting by examining the resilience of bridges under various load scenarios (Average Daily Traffic (ADT)/Live Loads, Environmental Loads/Conditions) categorized by bridge materials.

First, a Kaplan Meier model was used to determine the time to failure for the various load scenarios categorized by the bridge materials; giving the percentage of failed bridges at year 0,50,100,150 and 200 indicating the proportion of bridges that remain functional without failure after the marked years; additionally, a Cox PH model was used to determine the relationship between the covariates and the bridge failure risks.

Second, we investigate the impacts of local socioeconomic factors on bridge conditions. Since tolls, gas taxes, user fees and taxes, and federal road funds, provide most of the funding for bridge reconstruction, this analysis sought to identify any relationships between (a) bridge condition history (the time it takes to reach failure criteria), (b) the percentage of good and fair bridges in each county, and (c) the socioeconomic factors that are present. Using K-means clustering we first conducted an exploratory analysis to evaluate the data behavior, then using Multiple Linear Regression we found how much the various factors combination impacted the bridge health. The importance of each affecting factor was ranked through Random Forest.

The results showed that AADT contributed 31.4% to the bridge deterioration, followed by Population contributing 22.73%, and Business 16.38%, with Median Income contributing to the 1.08%.  This reinforces the need for targeted funding relying on each locality’s specific needs to support equitable bridge maintenance and improve overall infrastructure quality. This insight, combined with time-to-failure analysis, suggests prioritizing specific bridge types in low-income areas to ensure longevity despite limited funds. 


Lawrencia Akuffo is a civil engineer and researcher whose work bridges the fields of structural engineering, data science, and infrastructure resilience. As a Graduate Fellow at Rowan University’s Department of Civil and Environmental Engineering, her research focuses on structural health monitoring and remaining capacity estimation of bridges and prestressed concrete girders using advanced modeling tools like Abaqus and machine learning. Lawrencia’s innovative studies integrate LiDAR data, point cloud analysis, and socioeconomic modeling to understand infrastructure performance and deterioration across New Jersey’s bridges. Her multidisciplinary approach, which combines statistical modeling, structural simulation, and data-driven insights, positions her at the forefront of next-generation transportation infrastructure research.   


Presentation Slides:

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Evaluating Storage Stability and Performance Characteristics of Recycled Composite Plastic Modified Asphalt Binders

Presenter: Sk Md Imdadul Islam

Organization: Rowan University


Abstract:

The utilization of plastic has escalated over the past five decades, rising from 15 Mt to 311 Mt where a significant portion is regarded as waste after their end of use life. These waste plastics can be single or composite type, depending on how many polymers/plastics they include. Merely 12% of all plastics are recycled, while rest are disposed of in landfills, subjected to incineration, and some escape the collecting system, ultimately contaminating oceans and environment. To overcome this issue, utilizing waste plastics in flexible pavements looks promising. However, in wet mixing inadequate storage stability, attributed to compatibility issues between the plastic and asphalt is very frequent. This study evaluated the storage stability and performance characteristics of composite plastic modified binders at dosages of 1% to 3%, using polyethylene grafted maleic anhydride (PE-g-MA) and Reactive Elastomeric Terpolymer (RET) stabilizers. Thermal characterization of plastics was carried out using differential scanning calorimetry, showing melting points between 130–155°C, suitable for wet blending applications. Storage stability was evaluated using complex shear modulus separation index and fluorescence microscopy.

The results revealed improvement in storage stability with both stabilizers up to 2% dosage, with RET achieving more uniform and homogeneous plastic dispersion in asphalt binder matrix. Furthermore, rheological properties were evaluated through Superpave performance grading (PG), Multiple Stress Creep Recovery (MSCR), and Linear Amplitude Sweep (LAS). RET increased the high PG of plastic modified binders by up to three grades for HP (HDPE+PP) and two grades for LHP (LDPE+HDPE+PP), while PE-g-MA had a minimal impact on high PG. Both stabilizers maintained the low PG of the base binder, with RET providing greater improvement than PE-g-MA. The rutting performance increased significantly with RET, by enhancing recovery and lowering Jnr, outperforming PE-g-MA. With the addition of plastic, the fatigue performance was degraded. However, the use of stabilizers mitigated this effect, with RET and PE-g-MA enhanced fatigue lives by approximately 1500% and 270%, respectively. Overall, RET stabilizer was more effective than PE-g-MA in improving storage stability and performance characteristics. These findings suggest that composite plastic modified binders with up to 2% dosage combined with stabilizers can offer better storage stability and performance for sustainable pavement applications. 


Sk Md Imdadul Islam is a PhD student in Civil and Environmental Engineering and a graduate research fellow at Center for Research and Education in Advanced Transportation Engineering Systems (CREATES) at Rowan University, conducting research under the guidance of Dr. Yusuf Mehta. His current work, funded by the U.S. Army Engineer Research and Development Center (ERDC) and Cold Regions Research Engineering Laboratory (CRREL), focuses on the “Incorporation of Recycled Plastics into Asphalt Binder and Mixtures,” aligning with his research interests in Pavement Engineering, Sustainability, and Materials & Solid Waste Management. Prior to his doctoral studies, he earned an M.S. in Civil Engineering from The University of Texas at RGV and B.S. in Civil Engineering from the Khulna University of Engineering & Technology. His professional background also includes practical experience as a Project Estimator 1 at Millennium Engineers Group Inc., further fueling his motivation to contribute meaningfully to the field of engineering materials and advanced transportation systems. 


Presentation Slides:

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Introducing Transportation Careers to Youth in New Jersey

Presenter: Todd Pisani

Organization: Rutgers University


Abstract:

The Rutgers Employment Success Program bridges the gap between vulnerable young adults and New Jersey’s transportation workforce through targeted training, case management, and employer partnerships. Designed for youth ages 16–26—many of whom have experienced justice involvement or disconnection from school and work—the program uses transportation and infrastructure pathways as tools for empowerment and community impact.

Through initiatives such as BRIDGES to Employing Youth, PACE, and Youth Transitions to Work (YTTW), more than 400 participants have completed workforce readiness or pre-apprenticeship programs over the past five years, with 85% achieving employment or educational milestones. The program partners with NJ TRANSIT, AutoZone, local unions, community colleges, and chambers of commerce to align training with real labor-market needs in fields such as automotive technology, heavy equipment operation, and transit maintenance.

This presentation highlights the Rutgers model’s key design principles: individualized support, culturally responsive engagement, and safety-first credentialing. The program’s approach demonstrates how targeted investment in youth workforce pipelines can reduce recidivism, enhance job retention, and prepare a new generation for roles that sustain New Jersey’s infrastructure.

By integrating academic, social, and technical supports, the Rutgers Employment Success Program advances both transportation workforce development and social equity—helping young people move from vulnerability to viable careers that strengthen their communities and the state’s transportation future. 


Todd Pisani, MPA, is a Research Project Manager at the Center for Advanced Infrastructure & Transportation at Rutgers University, where he’s spent over 12 years advancing workforce development initiatives, particularly for justice-impacted and underserved populations. He is the architect of the Rutgers Employment Success Program and has secured over $7 million in grant funding to support reentry and career development efforts across New Jersey. Todd has led multiple research and training programs, including collaborations with the NJ Department of Labor, U.S. DOT, and the National Academies of Sciences. His work has focused on integrating Credible Messengers—leaders with lived experience—into workforce programs, providing powerful community connections and outcomes. He also serves in local leadership roles on youth services and interagency councils and was awarded the Rutgers Chancellor’s Award for Diversity and Inclusion in 2022. Todd’s mission continues to center around building more inclusive, effective systems of support and opportunity. 


Presentation Slides:

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