Title :
Intelligent scheduling of public traffic vehicles based on hybrid genetic algorithm
Author :
Feizhou, Zhang ; Dongkai, Yang ; Xiuwan, Chen
Author_Institution :
Inst. of Remote Sensing & Geogr. Inf. Syst., Peking Univ., Beijing, China
Abstract :
The hybrid genetic algorithm (HGA) were expatriated on, which is integrated by genetic algorithm (GA) and tabu search (TS). The intelligent scheduling was studied by using intelligent characteristic of hybrid optimizing algorithm. Description of scheduling of public traffic vehicles (PTV) was given and simulation results were analyzed. It is demonstrated that intelligent scheduling of PTV based on HGA can overcome the shortcomings of traditional PTV scheduling effectively.
Keywords :
genetic algorithms; road traffic; road vehicles; scheduling; search problems; hybrid genetic algorithm; hybrid optimizing algorithm; intelligent scheduling; public traffic vehicles; tabu search; Analytical models; Artificial intelligence; Biological cells; Genetic algorithms; Intelligent transportation systems; Intelligent vehicles; Optimal scheduling; Resource management; Scheduling algorithm; Traffic control;
Conference_Titel :
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN :
0-7803-8125-4
DOI :
10.1109/ITSC.2003.1252768
