基于公交数据挖掘的时刻表排班协同换乘优化

发布时间：2018-07-04 17:28

本文选题：城市交通 + 公交数据　；参考：《交通运输系统工程与信息》2017年05期

【摘要】：为实现公交换乘协同排班,减少乘客出行换乘时间,本文对公交信息系统的IC卡数据及车辆GPS数据进行数据挖掘,提取换乘信息并对现有的发车排班进行优化.首先,构建了公交运行状态信息提取模型,提取现有的公交运行状态信息.在此基础上,设计了邻域搜索的公交时刻排班优化算法,得到最佳发车排班时刻表.为验证所提出方法的有效性,选取了成都市的56路和3路公交线路的实际数据进行案例验证.结果表明:通过优化排班的方法,在不改变现有的公交供需条件的前提下,可以有效实现协同换乘;与原有的公交服务相比,优化之后的公交服务能够更加贴近出行需求,提升线路之间的换乘衔接效率,从而提高公交服务质量.
[Abstract]:In order to realize bus transfer coordinated scheduling and reduce passenger trip transfer time, the IC card data and vehicle GPS data of bus information system are mined in this paper, transfer information is extracted and the existing departure schedule is optimized. Firstly, the model of bus operation state information extraction is constructed to extract the existing bus operation state information. On this basis, the algorithm of bus scheduling optimization based on neighborhood search is designed, and the optimal timetable is obtained. In order to verify the effectiveness of the proposed method, the actual data of 56 and 3 bus routes in Chengdu are selected for case verification. The results show that the coordinated transfer can be realized effectively without changing the existing conditions of bus supply and demand, and compared with the original bus service, the optimized bus service can be more close to the travel demand. Improve the transfer efficiency between lines, thereby improving the quality of public transport services.
【作者单位】：西南交通大学交通运输与物流学院;西南交通大学综合交通运输智能化国家地方联合工程实验室;
【基金】：国家自然科学基金项目(51578465,71771190);国家自然科学基金青年项目(71402149) 重庆市应用开发计划重点项目(cstc2014yykf B30003,2015H01373)~~
【分类号】：U491.17

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