DocumentCode
2664853
Title
Signal timing at T intersection based on adaptive co-evolutionary algorithm
Author
Ming, He ; Hui, Wang ; Hong, Liu
Author_Institution
Res. Center of Intell. Transp. Syst., Univ. of Zhejiang, Hangzhou
fYear
2008
fDate
16-18 July 2008
Firstpage
517
Lastpage
521
Abstract
Based on the modified co-evolutionary genetic algorithm, the signal timing of the urban single-point T intersection was optimized. In order to solve this problem, the shortest average delay was taken as objective, and the intersection geometry shape and prohibition of traffic flow conflicts were taken as restrictions. Simulation experiments show that the optimization signal phase figure results are consistent with the actual traffic situation, and the adaptive co-evolutionary genetic algorithm, which is a new global search algorithm, is feasible and effective for mixed-traffic signal timing at T signalized intersection.
Keywords
genetic algorithms; road traffic; search problems; T signalized intersection; adaptive co-evolutionary algorithm; global search algorithm; intersection geometry shape; mixed-traffic signal timing; modified co-evolutionary genetic algorithm; single-point T intersection; traffic flow conflicts; Algorithm design and analysis; Analytical models; Control systems; Delay effects; Genetic algorithms; Intelligent transportation systems; Programmable control; Signal processing; Timing; Traffic control; Adaptive; Co-evolutionary Algorithm; Mix Traffic; T Intersection;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4605444
Filename
4605444
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