Research on the autonomous train control system based on vehicle-to-vehicle communication

Abstract

In recent years, there has been a significant increase in the importance of rail transit, which is largely due to the development of cities. It is anticipated that a new generation of train control systems will be required as the number of passengers increases and track resources become more limited. Seven driving modes of the autonomous train control system based on vehicle-to-vehicle communication are studied in four aspects: system architecture, control method, driving mode conversion, and system safety analysis. By analyzing the correlation between each operating mode in the normal and abnormal operations scenarios, and taking safety into consideration, this paper proposes a train driving mode conversion scheme that covers the whole scenario of train operation by taking safety into consideration in both normal and abnormal operations. This virtual coupling technology further reduces the overall system headway, thereby allowing for more efficient train control systems to be developed, and is intended to provide a useful reference for the engineering of new train control systems.