An integration of train timetabling, platforming and routing-based cooperative adjustment methodology for dealing with train delay

Zhang, Y, Chen, Z, An, M ORCID: https://orcid.org/0000-0002-1069-7492 and Umar, AM 2020, 'An integration of train timetabling, platforming and routing-based cooperative adjustment methodology for dealing with train delay' , International Journal of Software Engineering and Knowledge Engineering, 30 (07) , pp. 901-919.

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Access Information: Electronic version of an article published as International Journal of Software Engineering and Knowledge Engineering, Volume 30, Issue 7, 2020, Pages 901-919 https://doi.org/10.1142/S0218194020400112 © copyright World Scientific Publishing Company http://www.worldscientific.com/worldscinet/ijseke

Abstract

Train delay is a serious issue that can spread rapidly in the railway network leading to further delay of other trains and detention of passengers in stations. However, the current practice in the event of the trail delay usually depends on train dispatcher's experience, which cannot manage train operation effectively and may have safety risks. The application of intelligent railway monitor and control system can improve train operation management while increasing railway safety. This paper presents a methodology in which train timetabling, platforming and routing models are combined by studying the real-time adjustment and optimization of high speed railway in the case of the train delay in order to produce a cooperative adjustment algorithm so that the train operation adjustment plan can be obtained. MATLAB computer programs have been developed based on the proposed methodology and adjustment criteria have been established from knowledge data bases in order to calculate optimized solutions. A case study is used to demonstrate the proposed methodology. The results show that the proposed method can quickly adjust the train operation plan in the case of the train delay, restore the normal train operation order, and reduce the impact of train delay on railway network effectively and efficiently.

Item Type: Article
Schools: Schools > School of the Built Environment > Centre for Urban Processes, Resilient Infrastructures & Sustainable Environments
Journal or Publication Title: International Journal of Software Engineering and Knowledge Engineering
Publisher: World Scientific
ISSN: 0218-1940
Related URLs:
Funders: National Natural Science Foundation of China, Natural Science Foundation of Hunan Province, China, Highways England
Depositing User: Professor Min An
Date Deposited: 09 Sep 2020 11:27
Last Modified: 14 Sep 2020 09:45
URI: http://usir.salford.ac.uk/id/eprint/58209

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