Research on Simulation Testing Technology for Urban Rail Transit CBTC Systems

The design and implementation of an automatic operation system for urban rail transit is a crucial topic in the construction of smart cities. This project developed an advanced automatic operation system, covering core modules such as interlocking systems, onboard ATP, ground ATO, and simulation running diagrams. Using a distributed architecture, the system supports efficient simulation and control of large-scale line networks. After multiple rounds of testing and optimization, the system's performance was significantly improved, with a processing capacity of 48,000 requests per second and a response time of 18ms. Field tests on actual lines showed that the system's reliability reached 99.99%, significantly improving operational efficiency and safety. This achievement provides important support for the intelligent development of urban rail transit.

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Publication Details

Journal
Advances in Engineering Technology Research
Published
2025-02-28
DOI
https://doi.org/10.56028/aetr.12.1.1410.2024
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
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article

Research on Simulation Testing Technology for Urban Rail Transit CBTC Systems

Hongbing Shen, Xiaodong Chen, Haichao Zhang
Advances in Engineering Technology Research
Traffic Prediction and Management Techniques
article

Research on Simulation Testing Technology for Urban Rail Transit CBTC Systems

Hongbing Shen, Xiaodong Chen, Haichao Zhang
article en

Abstract

The design and implementation of an automatic operation system for urban rail transit is a crucial topic in the construction of smart cities. This project developed an advanced automatic operation system, covering core modules such as interlocking systems, onboard ATP, ground ATO, and simulation running diagrams. Using a distributed architecture, the system supports efficient simulation and control of large-scale line networks. After multiple rounds of testing and optimization, the system's performance was significantly improved, with a processing capacity of 48,000 requests per second and a response time of 18ms. Field tests on actual lines showed that the system's reliability reached 99.99%, significantly improving operational efficiency and safety. This achievement provides important support for the intelligent development of urban rail transit.

Advances in Engineering Technology ResearchVol. 12(1)
Openalex Percentile: Top 97%
Traffic Prediction and Management Techniques
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Research on Simulation Testing Technology for Urban Rail Transit CBTC Systems — Hongbing Shen, Xiaodong Chen, et al. · Advances in Engineering Technology Research (2025) | TGRS Research Map | TGRS