Research on Functional Safety of Multifunction Vehicle Bus in Rail Transit

Autor: Haoran Chen, Cunyuan Qian
Rok vydání: 2020
Předmět:
Zdroj: 2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS).
DOI: 10.1109/icaiis49377.2020.9194933
Popis: With the development of rail vehicle technology, the role of the train communication network is becoming more and more important in the increasingly complex train system. The safety and reliability of the network system are related to the safety of train operation. This paper first analyzes and calculates the bit error rate of the encoded data transmitted in Train Communication Network (TCN). Based on this, the theoretical calculation of residual error rate and verification of the safety integrity level (SIL) of the safety function using Multifunction Vehicle Bus (MVB) as the communication channel are given, which can provide ideas for subsequent research to improve the safety of MVB.
Databáze: OpenAIRE