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Comparative study of several intelligent optimization algorithms for traffic control applications

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3 Author(s)
Chaojun Dong ; Inst. of Inf. Eng., Wuyi Univ., Jiangmen, China ; Shiqing Huang ; Xiankun Liu

For the problems of the traditional control methods in current urban traffic control system can not effectively meet the real-time traffic flow variation and it's inefficiency, several optimization algorithms are proposed in this paper. Simulation results show that each algorithm has strong robustness, adaptivity and self-learning ability, all of them can solve problems of area traffic control signal timing optimization efficiently.

Published in:

Electronics, Communications and Control (ICECC), 2011 International Conference on

Date of Conference:

9-11 Sept. 2011