Railway capacity calculation in emergency using modified fuzzy random optimization methodology

Wang, L; An, M; Jia, L; Qin, Y

Abstract

Accurate estimated capacity of the railway section can provide reliable information to railway operators and engineers in decision-making, particularly, in an emergency situation. However, in an emergency, the optimization of capacity of a railway section is usually involved to study, for example, the characteristics of dynamic, fuzziness, randomness, and non-aftereffect properties. This paper presents a proposed capacity calculation method based on the modified fuzzy Markov chain (MFMC). In this method, the capacity of a railway section in an emergency can be expressed by a fuzzy random variable, which remains the randomness of capacity changing according to the impact of emergencies and the fuzziness of the driving behavior and other factors.Acase study of a high-speed line from Beijing to Shanghai is used to show the process of the proposed methods for optimization of section capacity calculation in an emergency.

• Presentation Conference Type: Other
• Conference Name: The 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019
• Start Date: Oct 25, 2019
• End Date: Oct 27, 2019
• Acceptance Date: Jul 20, 2019
• Publication Date: Apr 2, 2020
• Deposit Date: May 28, 2020
• Publicly Available Date: Apr 2, 2021
• Series Title: Lecture Notes in Electrical Engineering
• Series Number: 640
• Book Title: Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 Rail Transportation Information Processing and Operational Management Technologies
• ISBN: 9789811529139-(print);-9789811529146-(online)
• DOI: https://doi.org/10.1007/978-981-15-2914-6_26
• Publisher URL: https://doi.org/10.1007/978-981-15-2914-6_26
• Related Public URLs: https://link.springer.com/book/10.1007/978-981-15-2914-6
• Additional Information: Event Type : Conference; Funders : NationalKey Research andDevelopment Program of China;National Natural Science Foundation of China; Projects : High Speed Rail Research;Railway Engineering; Grant Number: Grant No. 2016YFB1200401; Grant Number: Grant No. 71701010