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货运铁路运输服务网络设计:中国案例。

Service network design for freight railway transportation: The Chinese case.

机构信息

School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China.

出版信息

PLoS One. 2022 Dec 1;17(12):e0276671. doi: 10.1371/journal.pone.0276671. eCollection 2022.

DOI:10.1371/journal.pone.0276671
PMID:36454743
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9714731/
Abstract

Service network design is a typical tactical planning problem faced in freight railway transportation. In this paper, we propose an integer linear programming model for the rail freight service network design problem in the context of the China railway system. The model aims to minimize the overall costs (including train costs and car costs) while satisfying a set of practical restrictions and operational requirements. Our model also considers a distinct operational feature in Chinese railway transportation practice, i.e., the tree-shaped path. A numerical experiment as well as a real-life case study from the China Railway Jinan Group (CR Jinan) is conducted to demonstrate the proposed solution approach. The real-life problem size reaches as many as 139 stations, 473 alternative train services and 562 shipments. Computational results show that our proposed approach is able to obtain quality solutions within a reasonable time frame.

摘要

服务网络设计是货运铁路运输中面临的典型战术规划问题。在本文中,我们针对中国铁路系统的铁路货运服务网络设计问题提出了一个整数线性规划模型。该模型旨在在满足一系列实际限制和运营要求的情况下,最小化总成本(包括列车成本和车辆成本)。我们的模型还考虑了中国铁路运输实践中的一个独特运营特点,即树状路径。通过数值实验和来自中国铁路济南局集团(CR Jinan)的实际案例研究来验证所提出的解决方案。实际问题的规模达到了 139 个车站、473 种可选的列车服务和 562 批货物。计算结果表明,我们提出的方法能够在合理的时间内获得高质量的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efb4/9714731/08c4c53a341c/pone.0276671.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efb4/9714731/e57c87e0d3e7/pone.0276671.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efb4/9714731/42c832c50557/pone.0276671.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efb4/9714731/13239ca751dd/pone.0276671.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efb4/9714731/e01e16b0c5c2/pone.0276671.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efb4/9714731/08c4c53a341c/pone.0276671.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efb4/9714731/e57c87e0d3e7/pone.0276671.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efb4/9714731/42c832c50557/pone.0276671.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efb4/9714731/13239ca751dd/pone.0276671.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efb4/9714731/e01e16b0c5c2/pone.0276671.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efb4/9714731/08c4c53a341c/pone.0276671.g005.jpg

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