文献类型：期刊文献

中文题名：遗传算法和蚁群算法融合的公交线网优化算法

英文题名：Optimization Algorithm of Bus Routes with the Combination of Genetic Algorithm and Ant Colony Optimization

作者：杨广林[1];逯燕玲[1]

第一作者：杨广林

机构：[1]北京联合大学应用文理学院

第一机构：北京联合大学应用文理学院

年份：2014

卷号：28

期号：1

起止页码：13-16

中文期刊名：北京联合大学学报

外文期刊名：Journal of Beijing Union University

基金：北京市长城学者项目资助(IDHT20130322);北京联合大学人才强校项目资助(BPHR2012A01)

语种：中文

中文关键词：公共交通;网络优化;公交站点OD矩阵;遗传算法;蚁群算法

外文关键词：Public transport; Network optimization; The transit stop OD distribution matrix; Genetic algorithm;Ant colony algorithm

摘要：我国大中型城市职住空间的错位带来城市交通的巨大压力,面对城市功能空间和公交站点客流分布的不断发展变化,以提高城市公共交通网络便捷程度和公交出行的时间效率为目标,融合遗传算法和蚁群算法建立公交线网优化模型,设计优化公交路径选择算法,为解决公交线网不断优化调整问题提供方法借鉴。
The separation between jobs and residential locations has brought great pressure on urban traffic in China＇s large and medium-sized cities. While facing the continuous change of urban function in the space and the passenger flow distribution in transit stop, in order to improve the convenience of the urban public traffic network and save time of public transit trip, the optimization model is established with the algorithm according to the combination of the genetic algorithm and ant colony. Through the algorithm of the bus routes selection is designed, it is trying to work out the solution.