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
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;
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
DOI :
10.1109/CHICC.2008.4605444