[1] [1] CHEN Cheng, ZHU Li, ZHAO Hongli. 5G-enabled edge intelligence for autonomous train control: a practical perspective[C]//International Conference on Intelligent Transportation. Macau,China:IEEE, 2022.

[2] [2] XU Dianlei, LI Tong, LI Yong, et al. Edge intelligence: empowering intelligence to the edge of network[J]. Proceedings of the IEEE, 2021,109(11):1778-1837.

[3] [3] WANG Xiaoxuan, LIU Lingjia, TANG Tao, et al. Next generation traincentric communication-based train control system with Train-to-Train(T2T) communications[C]// 2018 International Conference on Intelligent Rail Transportation(ICIRT). Singapore:IEEE, 2019.

[4] [4] TANG Tao,HUANG Liangji. A survey of control algorithm for automatic train operation[J]. Journal of the China Railway Society,2003,25(2):98-102.

[5] [5] ZHANG Shengping. Research on automatic train operation method based on improved PID algorithm[J]. Railway Signalling & Communication, 2017,53(10):27-30.

[6] [6] LONG Zhiqiang, LI Yun, WANG Xu. On maglev train automatic operation control system based on auto-disturbance-rejection control algorithm[C]// 2008 the 27th Chinese Control Conference. Kunming,China:IEEE, 2008.

[7] [7] ZHAO Yan, WANG Tianzhi, KARIMI H R. Distributed cruise control of high speed trains[J]. Journal of the Franklin Institute,2017,354(14):6044-6061.

[8] [8] ZHANG Chaoyang, CHU Duanfeng, LIU Shidong, et al. Trajectory planning and tracking for autonomous vehicle based on state lattice and model predictive control[J]. IEEE Intelligent Transportation Systems Magazine, 2019,11(2):29-40.

[9] [9] PARVEZ I,RAHMATI A,GUVENC I,et al. A survey on low latency towards 5G:ran,core network and caching solutions[J]. IEEE Communications Surveys & Tutorials, 2018,20(4):3098-3130.