Title :
Mixed-traffic signal timing at signalized intersection based on adaptive co-evolutionary algorithm
Author :
He, Ming ; Wang, Hui
Author_Institution :
State Key Lab. of Ind. Control Technol. Res. Center of Intell. Transp. Syst., Univ. of Zhejiang, Hangzhou
Abstract :
In order to solve the signal timing of the urban single-point intersection under the mixed-traffic, the shortest average delay were taken as objective, and the intersection geometry shape, channelization status and prohibition of traffic flow conflicts were taken as restrictions. A new global search algorithm combining adaptive genetic algorithm with co-evolutionary algorithm was put forward to solve the optimization problem, and simulation test with the actual data of Tiyuchang-Jianguo intersection indicates that the proposed algorithm overcomes the shortcomings such as local convergence, compared with traditional genetic algorithm; and it is feasible and effective for mixed-traffic signal timing at signalized intersection.
Keywords :
genetic algorithms; road traffic; search problems; timing; traffic engineering computing; Tiyuchang-Jianguo intersection; adaptive co-evolutionary algorithm; adaptive genetic algorithm; channelization status; global search algorithm; intersection geometry shape; mixed-traffic signal timing; signalized intersection; traffic flow conflicts; urban single-point intersection; Adaptive control; Automation; Genetic algorithms; Helium; Intelligent control; Intelligent transportation systems; Laboratories; Programmable control; Timing; Traffic control; adaptive genetic algorithm; co-evolutionary algorithm; intersection; mix traffic;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4594309