Assessment analysis of optimization scheduling for public traffic vehicles in its

被引：0
|
作者：
Zhang, FZ [1 ]
Yang, DK [1 ]
Chen, XW [1 ]
Sun, M [1 ]
Luo, YH [1 ]
机构：
[1] Peking Univ, Inst Remote Sensing, Beijing 100871, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年
关键词：
public traffic; Genetic Algorithm; ITS; static scheduling;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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..
引用
收藏
页码：2154 / 2156
页数：3
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