基于提高服务水平的公交发车频率优化模型研究  

Research on the Timetable Optimization Model of Public Traffic to Improve Service Quality

作　　者：徐琛[1,2] 刘好德[1,3] 吴芳[2] 

机构地区：[1]上海济祥智能交通科技有限公司,上海200092 [2]兰州交通大学交通运输学院,甘肃兰州730070 [3]同济大学土木工程学院,上海200092

出　　处：《佳木斯大学学报（自然科学版）》2010年第5期659-663,共5页Journal of Jiamusi University：Natural Science Edition

基　　金："中国博士后科学基金资助项目"面上资助项目(20080430688);特别资助项目(200902253)

摘　　要：随着社会经济的发展,公交行车调度的重点逐渐由先前的单纯注重公交企业经济效益转向其服务水平的进一步提升.在此基本思想指导下,建立了基于以乘客利益最大化为主要目标的非等效实时优先协同优化公交网络调度模型的,并采用了遗传算法与模拟退火算法相结合的混合遗传-模拟退火(GA-SA)算法对公交行车调度发车频率进行优化,同时采用上海市公交调查数据对其进行了验证.结果表明该优化模型有较强的实用性.With the pace of social and economic development,the focus of public traffic scheduling is gradually changing from the previous pure emphasis on the economic benefits of public traffic enterprises to improving their service quality.This paper presented an optimization scheduling model for a non-equivalent coordinated public transport network to maximize passenger＇s benefit under the guidance of the basic idea while meeting the objective function,and to minimize the total cost of passenger and public traffic operators.The research used an algorithm-hybrid of Genetic-simulated annealing（GA-SA） to optimize the frequency of public traffic scheduling,while using public traffic survey data of Shanghai to verify the model.The results indicate that the optimal model has strong practicability

关 键 词：公共交通 时刻表 车辆调度 混合遗传算法 

分 类 号：U492.2[交通运输工程—交通运输规划与管理]