Developing the CAV Living Lab at CAIT’s DataCity Smart Mobility Testing Ground
- February 23
- 2:00 pm–3:00 pm
The DataCity Smart Mobility Testing Ground is a 2.4-mile multi-modal corridor “living laboratory” in downtown New Brunswick, NJ, for collecting multi-modal smart-mobility data that will help the region improve safety, congestion, and equity in its transportation systems, while also establishing NJ as a hub for R&D in the growing Connected and Autonomous Vehicle industry.
DataCity is 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. This provides researchers at Rutgers CAIT, and project partners at Middlesex County and NJDOT, with operational, real-time smart mobility data to analyze and develop tools, while also providing high-resolution datasets for private sector R&D.
In this webinar, Project Manager Dr. Peter Jin will discuss the status of DataCity and its implementation throughout the test corridor, analyze data collected from the project so far, and layout next steps in the DataCity program.
Learn about the DataCity project and its installation throughout the New Brunswick test corridor.
Analyze CAV and smart mobility data collected so far through the DataCity project.
Learn about opportunities for both private industry and local agency engagement in the DataCity program.
Administrators, engineers, planners.
Dr. Peter Jin, Associate Professor in the Department of Civil and Environmental Engineering at Rutgers, and a CAIT researcher.
Withdrawal Policy: In the event that you are unable to attend a program for any reason, please note you must submit your withdrawal in writing at least 72 hours in advance of the start of a program to receive a refund. If am emailed or faxed withdrawal is not received by our department, the full program fee will be charged and is nonrefundable. A phone call asking for withdrawal is not sufficient.
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