NJDOT Research

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New Brunswick Innovation Hub Smart Mobility Testing Ground (SMTG)

The Smart Mobility Testing Ground (SMTG) proposed by Rutgers University’s Center for Advanced Infrastructure and Transportation (CAIT) will establish a living laboratory for smart mobility and smart city technology R&D in downtown New Brunswick, New Jersey. The SMTG will serve as the foundational element of an innovation hub that will attract public and private sector researchers testing advanced driving system applications in real‐world conditions while also serving as a source of high‐resolution transportation data.
Echoing New Jersey Department of Transportation (NJDOT) Commissioner Diane Gutierrez‐ Scaccetti’s vision on “Commitment to Communities,” the CAIT SMTG team’s initial focus would be on easily accessible safety applications (e.g., requiring no more than a cell phone); such applications would be deployed in early year‐one by leveraging existing partner technologies. The CAIT SMTG team would work closely with NJDOT and local agencies to prioritize community needs and identify opportunities for rapid development or implementation. The SMTG would create a dedicated testing ground and data infrastructure on 2.4 miles of multi‐modal corridor in downtown, supporting Governor Phil Murphy’s vision towards building a New Brunswick Innovation Hub to promote an innovative economy.
The CAIT SMTG corridor will be equipped with Self‐Driving‐Grade, high‐resolution roadside sensors and computing devices to enable smart mobility services to all travelers on the corridor without the need for expensive on‐board units or high‐end vehicles. A Living Laboratory with data computing, modeling, data sharing interfaces, and application testing interfaces will be implemented to provide operational data support for NJDOT and local agencies as well as high‐resolution datasets for private sector R&D.

Performing Organization
Rutgers University, Center for Advanced Infrastructure and Transportation (CAIT)
Key Word(s)
Planning & Forecasting, Vehicles & Equipment, Operations & Traffic Management, Data & Information Technology

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