As the lead inventor, our co-founder Dr. Xie is granted the U.S. patent for the smart and scalable urban traffic control system. X.-F. Xie, et al. Smart and Scalable Urban Signal Networks: Methods and Systems for Adaptive Traffic Signal Control. U.S. Patent,
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
Presented the work on tackling real-world changes and the integration with a unified route choice framework for the smart and scalable urban traffic control system at the Transportation Research Board (TRB) Annual Meeting, Washington, DC.
We presented our poster on the initial smart and scalable urban traffic control (SURTRAC) system at the Transportation Research Board (TRB) Annual Meeting, Washington, DC. SURTRAC is a packing box encapsulating the core control engine, including schedule-driven intersection control (SchIC) and decentralized coordination mechanisms, with some strengthening strategies
Reported by the Breathe Project: A unique partnership has piloted a new adaptive traffic signal control technology that promises to dramatically reduce harmful vehicle emissions and frustratingly long travel times through urban neighborhoods. With funding support from three Pittsburgh foundations,
On Jul 15, we demonstrated the work on real-time adaptive traffic signal control for the NACo (National Association of Counties) Annual Conference and Exposition, Pittsburgh, PA.
We presented the work on coordinated look-ahead scheduling for smart and scalable urban traffic control in the 2012 International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), at the Polytechnic University of Valencia, Spain. The work is a real-time,
Dr. Xie presented the paper on platoon-based adaptive traffic signal control for 2011 Annual IEEE ITS conference at Cafritz Conference Center, The George Washington University, Washington DC. We take a self-scheduling approach to solving the traffic signal control problem, where