Optimisation of Demand-Oriented Train Timetabling With Integrated Skip-Stopping and Passenger Routing Considering Multi-Speed Types

IF 2.5 4区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IET Intelligent Transport Systems Pub Date : 2025-09-29 DOI:10.1049/itr2.70092

Hui Liang, Yun Jing, Ziwen Jiang

引用次数: 0

Abstract

Designing train timetables that meet passenger demand is of significant importance to railway operators. Considering the coupled relationship between train timetable, train stop planning and passenger routing, this paper investigates the integrated optimisation problem of the three under demand-driven conditions. Specifically, we firstly consider two speed types of trains, design a multi-layer space-time network with train and passenger layers and construct an integer linear programming (ILP) model aimed at minimising the total passenger travel cost. Based on the characteristics of the model, Lagrangian relaxation (LR) is applied to decompose the train safety constraints and train capacity constraints. Finally, the effectiveness of the model and algorithm was validated through an experiment on the Wuhan-Guangzhou South High-Speed Railway (HSR) in China, and the impact of ticket price on passenger routing was analysed.

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考虑多速度类型的跨停与客运路线一体化需求列车调度优化

设计满足旅客需求的列车时刻表对铁路运营具有重要意义。考虑列车时刻表、列车停靠规划和旅客路线三者之间的耦合关系，研究了需求驱动条件下三者的综合优化问题。具体而言，我们首先考虑两种速度类型的列车，设计了包含列车层和乘客层的多层时空网络，并构建了以乘客总出行成本最小为目标的整数线性规划（ILP）模型。根据模型的特点，采用拉格朗日松弛法对列车安全约束和列车容量约束进行分解。最后，以武广南高铁为例，验证了模型和算法的有效性，并分析了票价对客运路线的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IET Intelligent Transport Systems 工程技术-运输科技

CiteScore

6.50

自引率

7.40%

发文量

159

审稿时长

3 months

期刊介绍： IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf