Railway out-of-gauge cargo transportation route selection method considering gauge modification

Zhang, YG, Liu, JC, An, M ORCID: https://orcid.org/0000-0002-1069-7492 and Wang, J 2022, Railway out-of-gauge cargo transportation route selection method considering gauge modification , in: The 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021, 21st-23rd October 2021, Qingdao, China.

[img] PDF - Accepted Version
Restricted to Repository staff only until 19 February 2023.

Download (278kB) | Request a copy
[img] PDF - Published Version
Restricted to Repository staff only

Download (3MB) | Request a copy
Access Information: Use of archived accepted manuscripts (AMs) are subject to Springer's AM terms of use which permit users to view, print, copy, download and text and data-mine the content, for the purposes of academic research, subject always to the full conditions of use.

Abstract

The size of railway out-of-gauge cargo is large, and the loading outline will exceed the railway gauges. In the actual transportation organization, how to choose a safe and economic transportation route is an important issue in the transportation of railway out-of-gauge cargo. The purpose of this paper is to solve the route selection problem of railway out-of-gauge cargo transportation, taking the safety distance and curve radius as constraints and railway capacity loss and transportation cost as objective functions to construct the route selection model considering gauge modification. And on this basis, a route search heuristic algorithm can be designed to solve it. The case verification shows that the most economical route for railway out-of-gauge cargo transportation can be derived based on the model and algorithm.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of the Built Environment > Centre for Urban Processes, Resilient Infrastructures & Sustainable Environments
Journal or Publication Title: Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021 : rail transportation information processing and operational management technologies
Publisher: Springer
Series Name: Lecture Notes in Electrical Engineering
ISBN: 9789811699085 (hardcover); 9789811699115 (softcover); 9789811699092 (eBook)
ISSN: 1876-1100
Related URLs:
Funders: National Natural Science Foundation of China, Natural Science Foundation of Hunan Province, China, Philosophy and Social Science Foundation of Hunan Province, China, Research Foundation of Education Bureau of Hunan Province, China
Depositing User: Professor Min An
Date Deposited: 09 Mar 2022 14:16
Last Modified: 09 Mar 2022 14:16
URI: https://usir.salford.ac.uk/id/eprint/63332

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)

Downloads

Downloads per month over past year