Optimization Method for Operation Scheme for High-speed Railway Freight Trains Based on Heterogeneous Fuzzy Demands

被引：0
|
作者：
Chen W. [1 ]
Zhang D. [1 ]
Qin J. [1 ]
Cao J. [1 ]
Xu G. [1 ]
Wang C. [2 ]
机构：
[1] School of Traffic & Transportation Engineering, Central South University, Changsha
[2] General Office, China National Railway Group Co., Ltd., Beijing
来源：
Tiedao Xuebao/Journal of the China Railway Society | 2023年 / 45卷 / 11期
关键词：
heterogeneous fuzzy demand; heuristic algorithm; high-speed railway freight train; loading plan; operation scheme;
D O I：
10.3969/j.issn.1001-8360.2023.11.003
中图分类号：
学科分类号：
摘要：
Conducting high-speed railway freight transportation business is a key way to meet the growing demand for express transportation in China. A joint optimization of line planning and freight loading plans for high-speed railway freight trains was realized based on the hub-and-spoke high-speed railway freight transportation network, as well as the heterogeneity and uncertainty of the demand for multi category cargo collection and distribution. To minimize the total operating cost, a mixed-integer nonlinear programing model of organization scheme for high-speed railway freight trains was established, based on the introduction of chance constraint, decision makers' preference under fuzzy freight demand and the proposed collaborative transportation strategy for heterogeneous products. A parallelized improved variable neighborhood search heuristic algorithm was designed to solve the problem. The proposed model and algorithm were verified and analyzed based on the case study of Beijing—Shanghai high-speed railway. The results show that the optimization method can effectively improve the loading rate of high-speed railway freight trains, as well as reduce the total operating cost. The risk preferences of decision-makers will directly affect the optimization scheme. © 2023 Science Press. All rights reserved.
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页码：20 / 28
页数：8
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