| 基于改进遗传算法的接运公交线路生成优化模型 |
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| 引用本文： | 许旺土,;何世伟,;宋瑞,;李娟,;袁润文. 基于改进遗传算法的接运公交线路生成优化模型[J]. 北方交通大学学报, 2009, 0(3): 40-44 |
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| 作者姓名： | 许旺土, 何世伟, 宋瑞, 李娟, 袁润文 |
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| 作者单位： | [1]北京交通大学交通运输学院,北京100044; [2]北京交通大学城市交通复杂系统理论与技术教育部重点实验室,北京100044 |
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| 基金项目： | 基金项目：“863”国家高科技资助项目（2006AA11Z203）;霍英东基金（104007）;北京交通大学重点基金资助项目（2006XZ004） |
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| 摘 要： | 城市轨道交通接运公交线路布设效果直接影响到轨道交通线路的运营效率．为了探讨轨道交通接运公交线路的最优布设方案，以最少线路接运最大客流量为目标，建立了线路生成的优化模型，并给出了求解该模型的改进遗传算法．以北京地铁5号线宋家庄站和刘家窑站的接运公交线路布设方案为例进行分析，结果表明：两个轨道交通站点布设6条接运公交线路能够使接运公交线路的载运能力最大，为205人／（km／h）．
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| 关 键 词： | 交通工程 接运公交 轨道交通 线路生成 遗传算法 |
Route Generation Optimization Model for Feeder Bus Based on Advanced Genetic Algorithm |
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| Affiliation: | XU Wangtu, HE Shiwei, SONG Rui, LI Juan, YUAN Runwen (a. School of Traffic and Transportation;b. M OE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 10004d, China) |
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| Abstract: | Generation of feeder bus routes for urban rail transit has a direct effect on the operation efficiency of rail transit line. In order to obtain the optimal configuration strategy of feeder bus routes, an route generation optimization model of which the objective functions are to minimize the number of feeder bus routes and to maximize the feeder passenger volume is proposed, for solving this model, an advanced genetic algorithm is formulated. Feeder bus routes planning strategy for two rail transit stations at Line 5 of Beijing Subway, Songjiazhuang and Liujiayao, is taken as an example, then the conclusion has been drawn： The maximal transportation capacity of feeder bus routes could reach at 205 persons per km per hour when 6 feeder routes are set for these two rail transit stations. |
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| Keywords: | traffic engineering feeder bus rail transit route generation genetic algorithm |
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