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.
This proposal will develop machine-learning algorithms using real-time vehicle, pedestrian, and infrastructure data to improve our understanding of how people drive on highways and urban roads. These models will help monitor and support the transportation systems to accommodate both human-driven and automated vehicles.
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.
October 2020 marks the 10th anniversary of the Transportation Autism Project at CAIT. This webinar focuses on the first ten years of innovative work from the Center making transportation accessible for those on the autism spectrum.
