Smart and Scalable Urban Traffic Control

Smart and Scalable Urban Traffic Control

The Smart and Scalable Urban Traffic Control system is a real-time, smart IoT-enabled adaptive traffic control system (in the sense of the Internet of Smart Intersections) that optimally schedules dynamic traffic flows in complex urban road networks, by integrating traffic theory with artificial intelligence (AI). Dr. Xie is the lead inventor of the system. He created the core control engine (the brain) of the system, including schedule-driven in

Presented our work on improving urban mobility at TRB 94th Annual Meeting

Presented our work on improving urban mobility at TRB 94th Annual Meeting

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 better understand and improve urban mobility networks. Transportation Research Board (TRB) Annual Meeting, Washington, DC, USA, 2015. An unsupervised learning appro

Presented work on Multimodal Traffic Control at IEEE ITS Conference, Qingdao, China

Presented work on Multimodal Traffic Control at IEEE ITS Conference, Qingdao, China

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 to optimize all modes of traffic that are central to sustainable urban living. We focus specifically on accommodating pedestrians and opt

Presented work at Workshop on Big Data and Urban Informatics

Presented work at Workshop on Big Data and Urban Informatics

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 social equity concerns, the need for efficient resource management, and a desire to leverage technological developments that have the potential to provide solutions to th