2014 47th Hawaii International Conference on System Sciences (2008)
Waikoloa, Big Island, Hawaii
Jan. 7, 2008 to Jan. 10, 2008
Urban traffic problems including traffic accidents and traffic congestion or jams have been very serious for us. Urban traffic flow simulation has been important for mak- ing new control strategies that can reduce traffic jams. In this paper, we propose a method that can dynamically con- trol traffic signals by equivalently representing as the con- straint satisfaction problem, CSP. To solve local congestion in each intersection, we define the whole system as multi- agent systems where the represented CSP is extended to distributed CSP, DCSP, in each of which variable is dis- tributed among each intersection agent. Each intersection agent determines some signal parameters by solving the DCSP. The proposed method is implemented on our sepa- rately developed agent-oriented urban traffic simulator and applied to some roadnetworks, whose experimental simula- tions demonstrated that our method can effectively reduce traffic jams even in the roadnetworks where traffic jams are liable to occur.
Seiichi Nishihara, Yukio Fukui, Kazunori Mizuno, "Urban Traffic Signal Control Based on Distributed Constraint Satisfaction", 2014 47th Hawaii International Conference on System Sciences, vol. 00, no. , pp. 65, 2008, doi:10.1109/HICSS.2008.482