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Cooperative and cognitive wireless networks for train control systems

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Abstract

With recent advances in wireless networks, communication-based train control (CBTC) has become a popular approach to ensure the safe and efficient operation of railway trains. The requirements for train–ground communication in CBTC systems are stringent. Most existing works about train–ground communication systems consider the infrastructure mode without train–train direct communications. Due to unreliable wireless communications and frequent handovers, existing CBTC systems can severely affect train control efficiency and performance, as well as the utility of railway. In this paper, with recent advances in cooperative and cognitive wireless networks, we propose a CBTC system to enable train–train direct communications. In addition, the proposed cooperative and cognitive CBTC system is optimized with the cognitive control method. Unlike the exiting works on cooperative and cognitive wireless networks, in this paper, train control performance in CBTC systems is explicitly used as the performance measure in the design. Reinforcement learning is applied to obtain the optimal handover decision and adaption policy of communication parameters. Simulation result shows that the performance of train control can be improved significantly in our proposed cooperative and cognitive CBTC system.

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Acknowledgments

We thank the editor and reviewers for their detailed reviews and constructive comments, which have helped to improve the quality of this paper. This paper is supported by Graduate Student Cultivation Project (352025535) and State Key Lab Project (RCS2015ZT005, RCS2014ZT07).

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Authors and Affiliations

  1. National Engineering Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University, Beijing, People’s Republic of China

    Kaicheng Li

  2. Carleton University, Ottawa, Canada

    F. Richard Yu

  3. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, People’s Republic of China

    Li Zhu, Tao Tang & Bin Ning

Authors
  1. Kaicheng Li
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  2. F. Richard Yu
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  3. Li Zhu
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  4. Tao Tang
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  5. Bin Ning
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Correspondence to F. Richard Yu.

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Li, K., Yu, F.R., Zhu, L. et al. Cooperative and cognitive wireless networks for train control systems. Wireless Netw 21, 2545–2559 (2015). https://doi.org/10.1007/s11276-015-0932-1

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