From the innovative DataCity Smart Mobility Testing Ground to building more resilient roadways, CAIT researchers have been recognized recently at industry events and in media coverage of their latest work.
CAIT researchers have been driving advanced engineering solutions into practice here in NJ. A few experts at CAIT were highlighted by NJBIZ last month in an article on "Engineering Advances."
On Thursday February 23rd, CAIT researcher Dr. Peter Jin hosted a seminar discussing the DataCity Smart Mobility Testing Ground, its implementation throughout the test corridor, data collected from the project so far, and next steps in the DataCity program.
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 CAV R&D.
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.
