DocumentCode :
2790912
Title :
Approach of intersection signal control based on PSO
Author :
Qin, Zhong ; Fan, Zhiping ; Zang, Xiaodong ; Gong, Huawei
Author_Institution :
Sch. of Civil Eng., Guangzhou Univ., Guangzhou, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
4421
Lastpage :
4425
Abstract :
Intersection as the city´s road network node, is the meeting point for distribution of traffic flow. In fact, traffic signal control is partition of traffic flows in time and space, so that the traffic flows no conflict obtain right-of-way in order. This paper present the real-time signal timing optimization in intersection, in which, the Kalman filter is used to forecast short-term traffic flow, the particle swarm optimization optimize the timing parameters. Simulation tests confirmed that the algorithm is superior to the traditional signal timing algorithm, which reduce the average delay time effectively.
Keywords :
Kalman filters; filtering theory; forecasting theory; particle swarm optimisation; road traffic; signal processing; Kalman filter; PSO; city road network node; delay time; intersection signal control; particle swarm optimisation; real-time signal timing optimization; short-term traffic flow forecast; traffic flow distribution; traffic signal control; Communication system traffic control; Delay effects; Economic forecasting; Genetic algorithms; Roads; Safety; Signal processing; Telecommunication traffic; Timing; Traffic control; Kalman Filtering; PSO; Signal Intersection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5192341
Filename :
5192341
Link To Document :
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