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《Communication and Transportati0n Systems Engineering and Information》 2001-01
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Research on Intelligent Scheduling for Public Traffic Vehicles

Zhang Feizhou  
According to the research and development status of intelligent transport systems (ITS), along with its major function in our country and the elementary demands of Public Traffic Company, the intelligent scheduling methods of PTV are studied with genetic algorithm (GA) in the paper the method makes full use of intelligent characteristics of GA and effectively improved the static scheduling of PTV. Consequently, operation efficiency of PTV is enhanced. Hybrid GA method is used to improve the convergent performance and optimal quality, avoiding premature. Subsequently, based on the static scheduling, the methods of the dynamic scheduling are analyzed and studied in the light of the charactorristics of PTV scheduling managent by means of automatic technoogy, communication and computers. In this way, operation management efficiency of PTV is further improved and the essential technology servce is prepared for the actualization of intelligent scheduling of PTV.
【Fund】: 国家“863”高技术研究发展计划资助!项目 ( 863-30 6-ZT0 4 -0 3-4 )
【CateGory Index】: U492.412
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