Open Access

ARTICLE

Analysis on Operational Safety and Efficiency of FAO System in Urban Rail Transit

Kaige Guo, Jin Zhou^*, Xiaoming Zhang, Di Sun^*, Zishuo Wang, Lixian Zhao

Department of Traffic Engineering, College of Urban Rail Transit and Logistics, Beijing Union University, Beijing, China

* Corresponding Authors: Jin Zhou. Email: ; Di Sun. Email:

Computers, Materials & Continua 2023, 77(3), 3677-3696. https://doi.org/10.32604/cmc.2023.038660

Received 23 December 2022; Accepted 20 April 2023; Issue published 26 December 2023

Abstract

This paper discusses two urgent problems that need to be solved in fully automatic operation (FAO) for urban rail transit. The first is the analysis of safety in FAO, while another is the analysis of efficiency in FAO. Firstly, this paper establishes an operational safety evaluation index system from the perspective of operation for the unique or typical risk sources of the FAO system, and uses the analytic hierarchy process (AHP) to evaluate the indicators, analyzes various factors that affect the safe operation of FAO, and provides safety management recommendations for FAO lines operation to maintain the FAO system specifically. Secondly, taking the Yanfang Line as an example, this paper uses OpenTrack software to analyze the efficiency of FAO operation, and conducts simulation calculations for key links such as the mainline tracking interval, train entry and exit, and return limit interval. The fault impact surface of the FAO trains is simulated and discussed to verify whether FAO can meet the long-term operation requirements of Yanfang Line. Finally, this paper compares the simulation data of FAO on the Yanfang Line with manual operation (MO) to verify the advantages of FAO and guide the engineering construction of subsequent fully automated driving lines.

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Keywords

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