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引用本文:郝合瑞,邵春福,岳昊,段龙梅.���ڶ�Ŀ���Ż��ĵ�·����վ��ѡַ�о�[J].交通运输系统工程与信息,2009,9(5):90-95.
作者姓名:郝合瑞  邵春福  岳昊  段龙梅
作者单位:1 ?????????? ???н??????????????????????????????????? 100044?? ; 2 ?????????? ????о?????????? 100022??3. ???????·?????????????? 130021
基金项目:国家重点基础研究发展计划(973计划) 
摘    要:为了研究道路客运站场规划的站场选址优化,提出了一种基于多目标优化的道路客运站场选址方法。首先,将道路客运站场规划区域的道路网简化为有向赋权图,使选址优化问题转化为0-1规划问题;然后,以道路客运站场的建设投资、网络总运输成本以及乘客的总出行距离为优化目标,同时把道路客运的实际条件转化为优化目标的约束条件;最后,利用基于目标值排序组合选择的多目标遗传算法求解模型的Pareto最优解集合,并通过客运站场选址优化算例阐述了模型的求解过程。

关 键 词:???????  ?????  ????????  ?????  
收稿时间:2009-6-28
修稿时间:2009-9-1

Location of Road Passenger Transportation Hub Based on Multi-Objective Optimization
HAO He-rui,SHAO Chun-fu,YUE Hao,DUAN Long-mei.Location of Road Passenger Transportation Hub Based on Multi-Objective Optimization[J].Transportation Systems Engineering and Information,2009,9(5):90-95.
Authors:HAO He-rui  SHAO Chun-fu  YUE Hao  DUAN Long-mei
Institution:1. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China; 2. Transportation Research Center, Beijing University of Technology, Beijing 100022, China; 3. Jilin Provincial Highway Survey and Design Institute, Changchun 130021, China
Abstract:To determine the location of hubs in road passenger transportation plan, a method based on multi-objective optimization is presented in this paper. First, the road passenger transportation network in planning area is simplified as a directed graph and the hub location problem is transformed into 0-1 planning problem. Then the total hubs building cost, passenger network transportation expenses, and trip distance is selected as the optimization objectives, which is subject to the actual conditions of road passenger transportation. Finally, multi-objective genetic algorithm based on the selection after multi-objective value ordering and combining is adopted for model solution, and a computation example of passenger hub location is tested and analyzed.
Keywords:traffic engineering  transportation hub location  multi-objective optimization  genetic algorithm
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