基于自适应遗传算法的车辆动态重调度  

Vehicle Dynamic Rescheduling Based on Self-Adaptive Genetic Algorithm

作　　者：谢燕琴[1] 熊桂喜[2] 

机构地区：[1]北京航空航天大学计算机学院网络技术北京市重点实验室,北京100091 [2]北京航空航天大学计算机学院,北京100191

出　　处：《现代计算机》2009年第3期14-16,共3页Modern Computer

基　　金：大容量公交交通和公交优先示范工程(No.2005BA414B04)

摘　　要：在充分分析快速公交(BRT)系统具有封闭车道、站台售检票、完善的智能系统等特点的基础上,研究动态重调度中对原计划发车频率的优化问题,建立发车频率优化模型。根据BRT的特点,提出采用自适应遗传算法解决对发车间隔的计算。结果表明,该优化方法能有效增加乘客候车满意度和乘车舒适度。On the basis of fully analysing the characters of Bus Rapid Transit System, such as closed lane, platform selling and checking ticket, perfect intelligence system, studies how to solve the problem of optimizing the sending frequency of the prime sending plan, establishes the optimal model and then brings forward an algorithm to solve the model. According to the characters of BRT, focuses on using the self-adaptive genetie algorithm to ealeulate the ending inters. The algorithm is proved that the optimal model can raise the satisfaction of waiting for a bus and the comfortable of taking a bus.

关 键 词：动态重调度 发车频率优化 自适应遗传算法 

分 类 号：U491.17[交通运输工程—交通运输规划与管理] TP18[交通运输工程—道路与铁道工程]