DocumentCode :
511722
Title :
Coordination Traffic Control under the Framework of Multi-agent Technology
Author :
Zhao, Jian-yu ; Tang, Dian-kui
Author_Institution :
Sch. of Control Sci. & Eng., Univ. of Jinan, Jinan, China
Volume :
1
fYear :
2009
fDate :
28-30 Oct. 2009
Firstpage :
219
Lastpage :
222
Abstract :
This paper studies the control mechanism of a traffic network with multi-junction. In order to solve regional transportation problem with complex, strong stochastic features, more considerations focus on the mutual influence between junctions. Coordination control method based on multi-agent technology is proposed to process the coordination of district traffic when traffic jams occur, and a new specific control structure is designed in detail. On this basis, optimization based on genetic algorithm is used to readjust the signal control parameters including the cycle length, green split. Compared with the traditional timing control, through the preparation of program simulation with average delay as the indicators, the situation of network congestion is improved.
Keywords :
genetic algorithms; multi-agent systems; road traffic; traffic control; average delay; coordination traffic control; cycle length; district traffic; genetic algorithm; green split; multiagent technology; network congestion; optimization; regional transportation; signal control parameter; stochastic features; timing control; traffic jam; traffic network; Communication system traffic control; Control systems; Decision making; Fuzzy control; Genetic algorithms; Intelligent control; Intelligent transportation systems; Multiagent systems; Traffic control; Vehicles; coordination traffic control; genetic algorithm optimization; multi-agent technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3881-5
Type :
conf
DOI :
10.1109/WCSE.2009.657
Filename :
5403474
Link To Document :
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