The system is a real-time, adaptive traffic control system (or the Internet of Smart Intersections, in the sense of Smart IoT) that optimally schedules dynamic traffic flows in complex urban road networks, by integrating traffic theory with artificial intelligence (AI). X.-F. Xie, et al.
During January 11-14, we presented our work on understanding and improving urban mobility at the Transportation Research Board (TRB) 94th Annual Meeting in the Walter E. Washington Convention Center, Washington, DC. An empirical study of combining participatory and physical sensing to
On October 10, Dr. Xie presented the work on multimodal urban traffic control at the 2014 IEEE International Conference on Intelligent Transportation Systems, Qingdao, China. This work extends our decentralized, schedule-driven approach to traffic network control in the direction of a broader mobility objective
On Aug 11-12, we attended Workshop on Big Data and Urban Informatics, with support from the National Science Foundation, held at the University of Illinois at Chicago (UIC). “The workshop brought together researchers from diverse disciplines motivated by sustainability and
Dr. Xie helped to add the possibility to retrieve an induction loop’s position (offset/lane) in TraCI, for Simulation of Urban Mobility (SUMO), an opensource microscopic traffic simulator, in its Version 0.13.1 update. SUMO has been for evaluating our smart and scalable urban