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.
The primary goal of this proposal is to investigate the stated definitions of equity in transportation and the current plans, statements, and goals that consider eliminating inequity and unfair distribution of benefits.
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.
This new research project will help to identify best practices to facilitate truck movements and minimize truck wait time at JFK International Airport for land-side cargo movements through a systems analysis of cargo movement and logistics.
The goal of this proposal is to develop and assess an innovative real-time proactive safety monitoring system based on the trajectory of road users (e.g., cars, pedestrians, and cyclists) collected by video cameras.
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.
The overall grant will fund a 3-year project that calls on students to develop a business plan built around licensable intellectual property that they will present and pitch to a panel of potential investors as part of the competition. The winning team will receive a monetary award to help them launch their venture.
CAIT has been busy in recent months with projects ranging from building virtual reality modules for workforce training to using drones in innovative ways for highway interchange asset inspection. Check out the latest edition of Transportation Today, our print newsletter, for these stories and much more.
A project from UTC partners at Rowan University is working to develop an AI-based algorithm that will automate the process of identifying landing sites from video data as well as satellite images—increasing safety and efficiency in the NAS.
