DocumentCode
2289881
Title
Traffic signal timing and phase optimization for intersection based on IPSO
Author
Jin Chengjun ; Cheng Wei ; Chang Guiran ; Jiang Huiyan ; Hwang Hakchol
Author_Institution
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2012
fDate
6-8 July 2012
Firstpage
711
Lastpage
714
Abstract
Urban area traffic signal control is a complicated issue. Based on the characteristics of vehicle delay, this paper proposes a method for signal timing and phase optimization. Particle swarm optimization (PSO) is adopted to optimize the multiphase traffic signal timing and phase sequence at the intersection. The optimization objective is to minimize the average vehicle delay of every cycle at the intersection. The simulation results demonstrate that the proposed method can efficiently reduce the average vehicle delay at the intersection and improve the traffic capacity of the intersection. In addition, the algorithm is fast and stable.
Keywords
delay systems; particle swarm optimisation; road traffic control; road vehicles; signal processing; IPSO; intersection; multiphase traffic signal timing; optimization objective; particle swarm optimization; phase optimization; phase sequence; traffic capacity; urban area traffic signal control; vehicle delay; Delay; Educational institutions; Intelligent control; Optimization; Particle swarm optimization; Vehicles; Green Light Timing; Particle Swarm Optimization; Phase Sequence;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6357970
Filename
6357970
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