Urban Traffic Signal Control Based on Multiobjective Joint Optimization

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 ave...

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Bibliographic Details
Published in:Scientific programming 2020, Vol.2020 (2020), p.1-8
Main Authors: Xiahou, Jianbing, Lin, Fan, Chen, Mingsong, Ren, Tianhe, Zhou, Junsheng, He, Shaojie, Xiao, Yutian, Feng, Yanming, Zhou, Yijie, Wu, Yongrong, Chen, Jinling
Format: Article
Language:English
Subjects:
Genetic algorithms
Intersections
Microorganisms
Multiple objective analysis
Optimization
Simulated annealing
Traffic control
Traffic flow
Traffic signals
Vehicles
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Summary: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.
ISSN:1058-9244
1875-919X
DOI:10.1155/2020/8839720