DocumentCode :
424189
Title :
Assessment analysis of optimization scheduling for public traffic vehicles in ITS
Author :
Zhang, Fei-Zhou ; Yang, Dong-Kai ; Chen, Xiu-Wan ; Sun, Min ; Luo, Wan-Hua
Author_Institution :
Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
Volume :
4
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
2154
Abstract :
The optimal scheduling method of public traffic vehicle (PTV) based on genetic algorithm (GA) is proposed in this paper and the simulation test has been done. Quality of service (QoS) is analyzed for the scheduling solutions. Simulation results and the assessment analysis show that the GA is effective and efficient for PTV scheduling.
Keywords :
genetic algorithms; quality of service; road traffic; road vehicles; scheduling; assessment analysis; genetic algorithm; optimization scheduling; public traffic vehicles; quality of service; Genetic algorithms; Geographic Information Systems; Optimal scheduling; Quality of service; Resource management; Sun; Testing; Traffic control; Transportation; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1382154
Filename :
1382154
Link To Document :
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