DocumentCode
2398306
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
Volume
2
fYear
2003
fDate
12-15 Oct. 2003
Firstpage
1674
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN
0-7803-8125-4
Type
conf
DOI
10.1109/ITSC.2003.1252768
Filename
1252768
Link To Document