Intelligent Hazard-Risk Prediction Model for Train Control Systems

• Published in: IEEE transactions on intelligent transportation systems Vol. 21; no. 11; pp. 4693 - 4704
• Main Authors: Liu, Jing, Zhang, Yan, Han, Jiazhen, He, Jifeng, Sun, Junfeng, Zhou, Tingliang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Belief networks; Communication; communication-based train control system; Communications systems; Control systems; deep learning; Hazard assessment; Hazards; long-short-term memory (LSTM); Neural networks; Operational hazards; Prediction models; Predictions; Predictive models; Rails; Recall; Recurrent neural networks; Risk analysis; Risk assessment; Risk communication; Risk prediction; Safety; statistical model checking; Statistical models; Systems architecture; Urban rail

Although there has been substantial research in system analytics for risk assessment in traditional methods, little work has been done for safety risk prediction in communication-based train control (CBTC) system, especially intelligently predicting risk caused by the uncertainty in the system opera...