Functional Safety and Performance Analysis of Autonomous Route Management for Autonomous Train Control System

计算机科学 控制(管理) 工程类 控制系统 控制工程 汽车工程 模拟 人工智能 电气工程
作者
Haifeng Song,L F Li,Ye Li,Ligang Tan,Hairong Dong
出处
期刊:IEEE Transactions on Intelligent Transportation Systems [Institute of Electrical and Electronics Engineers]
卷期号:25 (10): 13291-13304 被引量:4
标识
DOI:10.1109/tits.2024.3402435
摘要

For the operational efficiency improvement of trains in railway transportation, Autonomous Train Control System (ATCS) is getting widespread research attention. The station is a main scenario for the autonomous train operation, and its passing capacity is one of the critical factors affecting the further release of line capacity potential for railway lines. Based on this, the paper proposes an autonomous route management system to enhance the efficiency of route management in stations. As a safety critical system, the functional safety and performance analysis of the system must be evaluated before it is implemented in practical application. Hence, Colored Petri Nets (CPNs) are used to formalize and evaluate the system. Afterward, based on the proposed CPNs models, functional safety is carried out by dynamic attribute analysis and computational tree logic. Moreover, considering the impact of communication delays and processing delays on the route resource allocation, a performance analysis of the autonomous route process for trains at the station is implemented through practical parameterizations. The results indicated that the proposed autonomous route management strategy can reduce the train operating time and train arrival interval in stations by 15.63 s and 24.9 s, respectively.
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