Research on Active Safety Methodologies for Intelligent Railway Systems
Yong Qin, Zhiwei Cao, Yongfu Sun, Linlin Kou, Xuejun Zhao, Yunpeng Wu, Qinghong Liu, Mingming Wang, Limin Jia
Abstract
Safety is essential when building a strong transportation system. As a key development direction in the global railway system, the intelligent railway has safety at its core, making safety a top priority while pursuing the goals of efficiency, convenience, economy, and environmental friendliness. This paper describes the state of the art and proposes a system architecture for intelligent railway systems. It also focuses on the development of railway safety technology at home and abroad, and proposes the active safety method and technology system based on advanced theoretical methods such as the in-depth integration of cyber-physical systems (CPS), data-driven models, and intelligent computing. Finally, several typical applications are demonstrated to verify the advancement and feasibility of active safety technology in intelligent railway systems.