Intelligent Scheduling of Public Traffic Vehicles Based on a Hybrid Genetic Algorithm

被引：6
|
作者：
张飞舟 [1 ]
曹学军 [1 ]
杨东凯 [2 ]
机构：
[1] Dongkai School of Earth and Space Sciences,Peking University
[2] School of Electronic Information Engineering,Beihang University
来源：
Tsinghua Science and Technology | 2008年 / 05期
关键词：
genetic algorithm (GA); hybrid genetic algorithm (HGA); intelligent transportation system (ITS); intelligent scheduling; public traffic;
D O I：
暂无
中图分类号：
U469.7 [各种能源汽车];
学科分类号：
摘要：
A genetic algorithm (GA) and a hybrid genetic algorithm (HGA) were used for optimal scheduling of public vehicles based on their actual operational environments. The performance for three kinds of ve-hicular levels were compared using one-point and two-point crossover operations. The vehicle scheduling times are improved by the intelligent characteristics of the GA. The HGA, which integrates the genetic algo-rithm with a tabu search, further improves the convergence performance and the optimization by avoiding the premature convergence of the GA. The results show that intelligent scheduling of public vehicles based on the HGA overcomes the shortcomings of traditional scheduling methods. The vehicle operation man-agement efficiency is improved by this essential technology for intelligent scheduling of public vehicles.
引用
收藏
页码：625 / 631
页数：7
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