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基于时间扩展图的旅客联程运输路径规划算法研究OA北大核心

Route Planning Algorithm for Passenger Intermodal Transport Based on Time-expanded Graph

中文摘要英文摘要

为发挥旅客联程运输优势,为旅客提供符合旅客出行偏好的方案检索需求,提出基于时间扩展图模式的差异化旅客联程运输网络构建方法以及分层规划策略结合的路径规划算法.首先根据各交通工具运行计划数据以时间扩展图的模式构建原始运输网络,根据站点相对位置、接驳换乘条件、衔接交通工具类型建立差异化的换乘路径,最终形成联程运输网络.其次设计分层路径规划策略,将网络划分为跨城网络与本地网络2层,提出"预处理、路径规划、后处理"3步路径规划算法,满足用户不同的检索需求.通过提取2023年5月5日全国铁路列车、飞机及部分城市地铁数据进行算例分析,研究所提方法具有支持模糊搜索、支持站间换乘、充分考虑时刻表衔接约束的优点,有较高的运算效率,生成的路径合理且可以满足个性化出行规划需求.

To provide passengers with solutions leveraging the advantages of passenger intermodal transport so that their travel preferences can be satisfied,a construction method of differentiated passenger intermodal transport network based on a time-expanded graph and a route planning algorithm combining hierarchical planning strategy was proposed.Firstly,the original transport network was constructed in the form of a time-expanded graph based on the operation plan data of various vehicles.Differentiated transfer paths were established based on the relative location of stations,transfer conditions,and types of vehicles for transferring,ultimately forming an intermodal transport network.Secondly,a hierarchical route planning strategy was designed,dividing the network into the intercity network and the local network.A three-step route planning algorithm of"preprocessing,route planning,and post-processing"was proposed to meet the different retrieval needs of users.By extracting data from national trains,airplanes,and some urban subways on May 5,2023 for example analysis,this study finds that the method has high computational efficiency and reasonable generated paths,and can meet personalized travel planning needs with the advantages of taking fuzzy search,interstation transfer and time connections into consideration.

翁湦元;单杏花;朱建军;白广栋;赵楠

中国铁道科学研究院 研究生部,北京 100081||中国铁道科学研究院集团有限公司电子计算技术研究所,北京 100081中国铁道科学研究院集团有限公司电子计算技术研究所,北京 100081

交通运输

联程运输路径规划时间扩展图运输网络分层规划算法

Intermodal TransportRoute PlanningTime-expanded GraphTransport NetworkHierarchical Planning Algorithm

《铁道运输与经济》 2024 (008)

82-90 / 9

中国国家铁路集团有限公司科技研究开发计划课题(N2022S003)

10.16668/j.cnki.issn.1003-1421.2024.08.09

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