Development of a railway out-of-gauge freight transport routing optimal method

Zhang, Y; Guo, J; An, M

Abstract

Railway out-of-gauge freight (ROF) is beyond railway gauges in its dimensions, which could be risks leading to serious railway accidents. This article presents a new methodology to search for a safest and more economic route of ROF by taking safety and cost objectives into consideration. In this method, a mathematical model is proposed based on the transport costs as optimization objectives with the constraints of flow balance and safety gap clearance in which ROF transport routing generation, loading outline and railway gauge double-checking algorithms are established, and then a ROF
transport routing model combining transportation costs, loading outlines and railway gauges are developed. The proposed method can be used to determine the safest and more economic ROF route. A case study is used to demonstrate the application of the proposed method.

• Journal Article Type: Article
• Acceptance Date: Jan 23, 2022
• Online Publication Date: Feb 17, 2022
• Publication Date: Jun 1, 2022
• Deposit Date: Mar 8, 2022
• Publicly Available Date: Feb 17, 2023
• Journal: Physica A: Statistical Mechanics and its Applications
• Print ISSN: 0378-4371
• Publisher: Elsevier
• Volume: 595
• Pages: 127081
• DOI: https://doi.org/10.1016/j.physa.2022.127081
• Publisher URL: https://doi.org/10.1016/j.physa.2022.127081
• Related Public URLs: http://www.elsevier.com/wps/product/cws_home/505702/description
• Additional Information: Funders : National Natural Science Foundation of China;Natural Science Foundation of Hunan Province, China;Hunan Provincial Fund for Philosophy and Social Sciences Youth Project, China;Fundamental Research Funds for the Central Universities of Central South University, China; Projects : Railway Infrastructure Development;Railway Infrastructure Development & Innovation;Railway Infrastructure Safety;Railway Engineering Innovation; Grant Number: 71971220; 71771218; Grant Number: 2019JJ50829; Grant Number: 18YBQ139; Grant Number: 1053320183799