A Bayesian Game-Based Train Protection Method Using Train-to-Train Communication

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

Train-to-wayside communication cannot satisfy growing demands for safety and efficiency on high-speed railways. In this article, a novel train control system is presented based on train-to-train (T2T) communication and mobile edge computing (MEC). The T2T approach can shorten communication times and optimize the control performance. The scheme is described and compared to the traditional communication system, considering parameters that can result in poor service quality. Additionally, the application of MEC is introduced in a novel wireless access network. Then, a Bayesian game-based protection method is proposed to ensure operation safety and efficiency. Considering bit errors, packet losses, and broken connections, train and communication system cost functions are designed. The results show that the proposed strategy can reduce the impact of unreliable communication on the safe operation of trains.

Details

Original languageEnglish
Article number10.1109/MITS.2021.3075840
Pages (from-to)2-13
Number of pages12
JournalIEEE Intelligent Transportation Systems Magazine
Volume14
Issue number4
Publication statusPublished - 3 Jun 2021
Peer-reviewedYes

External IDs

Scopus 85107386431
ORCID /0000-0002-6853-0361/work/142242276