The communication system of the next-generation train control system (TCS) based on cloud computing is modeled in this paper. The end-to-end communication delay is analyzed as the main factor affecting the real-time performance of the system. To improve this performance, a time-sensitive network (TSN) is introduced into the system. We analyze and simulate the end-to-end communication delay of systems with the TSN and compare it with traditional Ethernet. It is concluded that applying a TSN, based on the nw-DRR scheduling algorithm and with optimized parameters, can significantly reduce the end-to-end communication delay decreases from tens of milliseconds to milliseconds.
End-to-End Communication Delay Analysis of Next-Generation Train Control System Based on Cloud Computing
Lect. Notes Electrical Eng.
International Conference on Electrical and Information Technologies for Rail Transportation ; 2019 ; Qingdao, China October 25, 2019 - October 27, 2019
Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 ; Chapter : 19 ; 187-196
2020-04-02
10 pages
Article/Chapter (Book)
Electronic Resource
English
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