火车站调度与控制一体化下的线路选择优化:0-1 程序设计模型和两阶段求解算法

IF 2.3 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Liang Ma, Kun Yang, Jin Guo, Yuanli Bao, Wenqing Wu
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引用次数: 0

摘要

目前,铁路车站选线优化的主流研究很少考虑运行计划的整体正点率和调车作业与列车运行之间的线路资源抢占问题,这会危及运行安全,降低车站效率。因此,本文提出了一种火车站调度控制一体化下的线路选择优化方法。首先,定义了车站类型数据结构、线路占用冲突和运行任务顺序。然后,构建了一个 0-1 编程模型,以最小化总延迟时间并缩短所有操作的总行程时间。最后,设计了基于深度优先搜索算法和遗传算法的两阶段求解算法,并设计了两个中国技术站的实际案例。实例验证结果表明,该算法可以在 250 次迭代中找到满意的线路方案;不同的延迟因子和旅行系数会得到不同的线路方案,可以为调度员和操作员选择线路提供决策支持。通过算法对比分析发现,两阶段算法比单独的深度优先搜索算法和单独的遗传算法具有更高的求解效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optimization for route selection under the integration of dispatching and control at the railway station: A 0-1 programming model and a two-stage solution algorithm

Optimization for route selection under the integration of dispatching and control at the railway station: A 0-1 programming model and a two-stage solution algorithm

At present, the mainstream studies on route selection optimization at the railway station rarely considered the overall punctuality of the operation plans and the seizing route resource between shunting operation and train running, which can endanger the running safety and reduce the efficiency at the station. Therefore, this paper proposes an optimization method for the route selection under the integration of dispatching and control at the railway station. Firstly, the station-type data structure, the route occupation conflict, and the operation task order were defined. Then, a 0-1 programming model was constructed to minimize the total delay time and shorten the total travel time of all operations. Finally, a two-stage solution algorithm based on depth-first search algorithm and genetic algorithm was designed, and two actual cases of a technical station in China were designed. The instance verification results show that the algorithm can find the satisfactory route scheme in 250 iterations; different delay factors and travel coefficients will get different route schemes, which can provide decision support for dispatchers and operators to select routes. Through comparative analysis of algorithms, it is found that the two-stage algorithm has higher solving efficiency than the individual depth-first search algorithm and individual genetic algorithm.

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来源期刊
IET Intelligent Transport Systems
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
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