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地铁系统中客货混跑的运输决策方法

A Mixed Decision Strategy for Freight and Passenger Transportation in Metro Systems.

机构信息

School of Transportation and Logistics, East China Jiaotong University, Nanchang, Jiangxi Province 330013, China.

出版信息

Comput Intell Neurosci. 2021 Dec 1;2021:5412016. doi: 10.1155/2021/5412016. eCollection 2021.

DOI:10.1155/2021/5412016
PMID:34899895
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8654573/
Abstract

This paper proposes a mixed decision strategy for freight and passenger transportation in metro systems during off-peak hours (MTS-OPH). The definition of the mixed decision strategy is proposed, and fixed and flexible loading modes are considered for different passenger flow volumes. A mathematical model of the MTS-OPH is proposed and solved using an improved variable neighborhood search algorithm. Case studies demonstrate the performance and applicability of the proposed model and algorithm, and the MTS-OPH is discussed for different delivery distances, passenger flows, and metro network types. The proposed strategy is suitable for long-distance delivery, and the proposed model framework can be applied to different types of metro networks with different levels of complexity. The mixed decision strategy provides a decision support tool for metro and freight companies and can propose corresponding solutions according to different passenger flows.

摘要

本文提出了一种地铁系统非高峰时段客货混合运输决策策略（MTS-OPH）。定义了混合决策策略，并针对不同的客流规模考虑了固定和灵活的装载模式。提出了一种 MTS-OPH 的数学模型，并使用改进的变邻域搜索算法进行求解。案例研究验证了所提出模型和算法的性能和适用性，并讨论了不同输送距离、客流和地铁网络类型下的 MTS-OPH。所提出的策略适用于长途输送，所提出的模型框架可应用于具有不同复杂程度的不同类型的地铁网络。混合决策策略为地铁和货运公司提供了决策支持工具，可以根据不同的客流提出相应的解决方案。

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