An innovative, electrified-pavement design created by Rutgers researchers can enable efficient Electric-Vehicle charging and has the potential to help transform roadways into sustainable energy sources in the future.
A three-year project at Columbia University is building Digital Twins of intersections, roadways, and other key infrastructure in New York City to monitor and map traffic flow throughout the city. Using Digital Twins can help officials simulate traffic and congestion conditions and test potential mitigation strategies.
Led by Columbia University, this grant will develop a new Center for Smart Streetscapes in collaboration with state-of-the-art labs at Florida Atlantic University, University of Central Florida, Lehman College, and Rutgers University/CAIT.
This proposal will develop a digital twin for urban mobility, the Mobi-Twin platform, focusing on enabling the microscopic accurate modeling and simulation of Urban Mobility System of Systems with the emerging self-driving grade high-resolution 3D data.
This project will establish the pilot Smart Intersection Mobility (SIMO) testbed in downtown New Brunswick for the collection, processing, visualization, and application testing with the smart mobility sensor data.
A CAIT proposal transforms part of downtown New Brunswick into a test bed for technologies that collect, process, analyze mobility big data—a crucial component to future integration of autonomous vehicles, a safer pedestrian and cycling environment, and robust public transit.
The purpose of this study is to explore and document both positive impacts autonomous vehicle (AV) transportation, aka a self-driving car, could have on persons with a broad array of disabilities and other transportation issues, as well as challenges that may hinder their successful usage of this revolutionary technology.
This research will create proposed design plan for a connected/electric vehicles test bed, a simulation model for scale up, and preliminary system architecture.
