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《Journal of Beijing University of Aeronautics and Astronautics》 2002-06
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Optimizing Dispatching of Public Traffic Vehicles in Intelligent Transport Systems

ZHANG Fei zhou YAN Lei (Peking University,Institute of Remote Sensing and Geography Information System)FAN Yue zu SUN Xian fang (Beijing University of Aeronautics and Astronautics, School of Automation Science and Electrical Engineering)  
The basic principles of Genetic Algorithm (GA) and Tabu Search(TS) were expatiated on. Both of optimizing algorithms were availably integrated into Hybrid Genetic Algorithm (HGA). With regard to actual status and operation environment of Public Traffic Vehicles (PTV), intelligent dispatching of PTV was studied with HGA. The simulation results were demonstrated that intelligent dispatching of PTV could be realized to decision making, and the shortcoming could be effectively overcome based on GA TS Hybrid Genetic Algorithm. As a conclusion, the efficiency is 15% higher and traffic operation cycle 5% shorter than those of common PTV. In the way operation efficiency, traveling safety and service level of PTV were enhanced, the reasonable and viable means were provided for intelligent dispatching of urban PTV.
【Fund】: 国家“8 63”高技术计划资助项目 (863 -3 0 6-ZT0 4-0 3 -4 )
【CateGory Index】: U491
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