Month: April 2021

This study was recently published in IEEE – Transactions on Intelligent Transportation Systems (https://ieeexplore.ieee.org/document/9312471) Doctoral candidate Stephen Spana and his adviser, Dr. Lili Du of the UF Department of Civil & Coastal Engineering, worked on a National Science Foundation study aimed at mitigating system traffic congestion by leveraging users’ reaction to real-time traffic data provision […]

Connected and autonomous vehicle (CAV) technologies present great opportunities for reducing traffic congestion through advanced sensors, communication, and portable computing devices – those which assist with conducting cooperative or coordinated driving. However, much of the CAV-related work focuses on assisting self-driving maneuvers and an individual vehicle’s safety. The technology does not promise traffic stream efficiency […]

Several apps such as Waze and Google Map provide ways for travelers to share routing decisions with each other. These apps aggregate the data to provide information on the best routes to take and the time it takes to arrive at their destinations. Apps do this via coordinated routing schemes (CRMs).  But exactly who are […]