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.
Presented work on Smart and Scalable Urban Traffic Control at AAMAS Conference
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,
Added Function in TraCI for Simulation of Urban Mobility (SUMO)
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
Presented work on Platoon-based Traffic Control at IEEE ITS Conference
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
Work on solving the Traveling Saleman Problem was published on IEEE Trans. on SMC-B
MAOS-TSP is a cooperative group optimization system for solving the Traveling Salesman Problem (TSP). It has been tested and achieved optimal solutions efficiently for large-scale instances. The code can be downloaded here. Xiao-Feng Xie, Jiming Liu. Multiagent optimization system for
Work on solving the Graph Coloring Problem was published on Journal of Combinatorial Optimization
MAOS-GCP is a cooperative group optimization system for solving the Graph Coloring Problem (GCP). It has been tested and achieved optimal solutions efficiently for large-scale instances. The binary code can be downloaded from the portal. Xiao-Feng Xie, Jiming Liu. Graph coloring