A sample of the current DRIVE Net interface.

An Artificial Intelligence Platform for Network-wide Congestion Detection and Prediction Using Multi-source Data

An Artificial Intelligence Platform for Network-wide Congestion Detection and Prediction Using Multi-source Data Overview With the rapid growth of urban populations, traffic problems are getting worse in terms of increased traffic congestion and lengthened delays. Urban traffic congestion has become a critical problem that not only affects the people’s daily lives, but also restricts the…

Monitoring and Control of Overweight Trucks

C2SMART Project Webinar: Monitoring and Control of Overweight Trucks for Smart Mobility and Safety of Freight Operations

C2SMART Project Webinar: Monitoring and Control of Overweight Trucks for Smart Mobility and Safety of Freight Operations The research team at Rutgers presents their work on Monitoring and Control of Overweight Trucks for Smart Mobility and Safety of Freight Operations. This project attempts to establish a strong correlation between the increasing demand of truck load…

C2SMART at the NY Auto Show

  This spring saw the first-ever Tandon-VectoIQ Tech Talks at the New York International Auto Show, featuring C2SMART Director Kaan Ozbay and Deputy Director Joseph Chow. Co-sponsored by C2SMART, the event featured two panels presented on April 19 which looked at the expansion of mobility beyond privately owned cars and trucks, as well as related…