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Towards Safety-Risk Prediction of CBTC Systems With Deep Learning and Formal Methods

  • Published:2020 Issue: Volume:8 Page:16618-16626
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Liu JingORCID,Qian LiORCID,Zhang YanORCID,Han JiazhenORCID,Sun JunfengORCID

Funder

National Key Research and Development

National Natural Science Foundation of China

Shanghai Knowledge Service Platform

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design of CBTC Real-Time Simulation System Based on FPGA;Lecture Notes in Electrical Engineering;2024

2. Statistical Model Checking for Stochastic and Hybrid Autonomous Driving Based on Spatio-Clock Constraints;International Journal of Software Engineering and Knowledge Engineering;2022-04

3. Improved BiLSTM Model For Online Food Safety Risk Prediction;2021 20th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES);2021-12

4. An accident prediction architecture based on spatio‐clock stochastic and hybrid model for autonomous driving safety;Concurrency and Computation: Practice and Experience;2021-08-08

5. The Function Design for the Communication-Based Train Control (CBTC) System: How to Solve the Problems in the Underground Mine Rail Transportation?;Applied System Innovation;2021-04-27
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