Selection of a forward error correcting code for the data communication radio link of the Advanced Train Control System

1989 ◽  
Vol 38 (4) ◽  
pp. 247-254 ◽  
Author(s):  
R.G. Ayers
Keyword(s):  
Control System ◽  
Error Correcting Code ◽  
Data Communication ◽  
Radio Link ◽  
Train Control ◽  
Train Control System ◽  
Forward Error ◽  
Selection Of

scholarly journals LTE-U based Train to Train Communication System in CBTC: System Desin and Reliability Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Hao Liang ◽  
Hongli Zhao ◽  
Shuo Wang ◽  
Yong Zhang
Keyword(s):  
Control System ◽  
Communication System ◽  
Evaluation Method ◽  
Operating Cost ◽  
Data Communication ◽  
Stochastic Petri Nets ◽  
Critical Signal ◽  
Efficient Operation ◽  
Train Control ◽  
Train Control System

Communication-Based Train Control (CBTC) system is a critical signal system to ensure rail transit’s safe operation. Compared with the train-ground CBTC system, the train control system based on train-to-train (T2T) communication has the advantages of fast response speed, simple structure, and low operating cost. As the core part of the train control system based on T2T communication, the reliability of the data communication system (DCS) is of great significance to ensure the train’s safe and efficient operation. According to the T2T communication system requirements, this paper adopts Long-Term Evolution-Unlicensed (LTE-U) technology to design the DCS structure and establishes the reliability model of the communication system based on Deterministic and Stochastic Petri Nets (DSPN). Based on testing the real line’s communication performance parameters, the DSPN model is simulated and solved by π -tool, and the reliability index of the system is obtained. The research results show that the LTE-U-based T2T communication system designed in this paper meets the train control system’s needs for communication transmission. This paper’s reliability evaluation method can complete the reliability modeling of train control DCS based on T2T communication. The research in this paper will provide a strong practical and theoretical basis for the design and optimization of train control DCS based on T2T communication.

Research on Train Control System Based on Communications

2012 ◽  
Vol 253-255 ◽  
pp. 1427-1430
Author(s):  
Lin Na He
Keyword(s):  
Communication Network ◽  
Control System ◽  
Communication Technology ◽  
Network Architecture ◽  
Open Data ◽  
Data Communication ◽  
System Structure ◽  
Train Control ◽  
Train Control System ◽  
Data Communication Network

This paper introduces communication based train contrl (CBTC) technology, focusing on the concept of the CBTC , the CBTC system structure, and the CBTC system basic principle. This paper presents the CBTC system is composed of two parts by the train control system and wireless information transmission, the CBTC system using wireless communication technology to achieve real-time bi-directional communication in the train and the trackside equipment, through an open data communication network. Finally, data communication subsystem network architecture in the CBTC system has been studied.

Operation-oriented reliability and availability evaluation for onboard high-speed train control system with dynamic Bayesian network

2018 ◽  
Vol 233 (3) ◽  
pp. 455-469 ◽  
Author(s):  
Lei Jiang ◽  
Yiliu Liu ◽  
Xiaomin Wang ◽  
Mary Ann Lundteigen
Keyword(s):  
Control System ◽  
Bayesian Network ◽  
High Speed ◽  
Dynamic Bayesian Network ◽  
Dynamic Bayesian Networks ◽  
High Speed Train ◽  
Train Control ◽  
Train Control System ◽  
Onboard System ◽  
Reliability And Availability

The reliability and availability of the onboard high-speed train control system are important to guarantee operational efficiency and railway safety. Failures occurring in the onboard system may result in serious accidents. In the analysis of the effects of failure, it is significant to consider the operation of an onboard system. This article presents a systemic approach to evaluate the reliability and availability for the onboard system based on dynamic Bayesian network, with taking into account dynamic failure behaviors, imperfect coverage factors, and temporal effects in the operational phase. The case studies are presented and compared for onboard systems with different redundant strategies, that is, the triple modular redundancy, hot spare double dual, and cold spare double dual. Dynamic fault trees of the three kinds of onboard system are constructed and mapped into dynamic Bayesian networks. The forward and backward inferences are conducted not only to evaluate the reliability and availability but also to recognize the vulnerabilities of the onboard systems. A sensitivity analysis is carried out for evaluating the effects of failure rates subject to uncertainties. To improve the reliability and availability, the recovery mechanism should be paid more attention. Finally, the proposed approach is validated with the field data from one railway bureau in China and some industrial impacts are provided.

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