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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6357970