Title of article :
Urban Traffic Signal Control Based on Multiobjective Joint Optimization
Author/Authors :
Wu, Yongrong School of Information and Communication - Guilin University of Electronics Technology, China , Zhou, Yijie School of Information and Communication - Guilin University of Electronics Technology, China , Feng,Yanming School of Information and Communication - Guilin University of Electronics Technology, China , Chen, Mingsong School of Information and Communication - Guilin University of Electronics Technology, China , Xiao, Yutian Xiamen University, China , He, Shaojie Xiamen University, China , Zhou, Junsheng Xiamen University, China , Ren,Tianhe School of Information and Communication - Guilin University of Electronics Technology, China , Chen,Jinling Xiamen University, China , Xiahou, Jianbing Xiamen University, China , Lin, Fan Xiamen University, China
Pages :
8
From page :
1
To page :
8
Abstract :
This paper proposes two algorithms for signal timing optimization of single intersections, namely, microbial genetic algorithm and simulated annealing algorithm. The basis of the optimization of these two algorithms is the original timing scheme of the SCATS, and the optimized parameters are the average delay of vehicles and the capacity. Experiments verify that these two algorithms are, respectively, improved by 67.47% and 46.88%, based on the original timing scheme.
Keywords :
raffic Signal Control , Joint Optimization , Multiobjective
Journal title :
Scientific Programming
Serial Year :
2020
Full Text URL :
Record number :
2610214
Link To Document :
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