Chinese Journal of Intelligent Science and Technology ›› 2022, Vol. 4 ›› Issue (3): 335-343.doi: 10.11959/j.issn.2096-6652.202204

• Surveys and Prospectives • Previous Articles     Next Articles

Overview of metro train driving technology development:from manual driving to intelligent unmanned driving

Wenzhu LAI1,2, Dewang CHEN1,3, Zhenfeng HE1,2, Xinguo DENG1,2, CARLO Marano GIUSEPPE4   

  1. 1 College of Computer and Data Science, Fuzhou University, Fuzhou 350108, China
    2 Key Laboratory of Intelligent Metro of Universities in Fujian, Fuzhou University, Fuzhou 350108, China
    3 School of Transportation, Fujian University of Technology, Fuzhou 350118, China
    4 Politecnico di Torino, Turin EI10129, Italy
  • Revised:2021-03-19 Online:2022-09-15 Published:2022-09-01
  • Supported by:
    The National Natural Science Foundation of China(61976055);The National Natural Science Foundation of China(61906043);Special Fund for Education and Scientific Research by Fujian Provincial Department of Finance(GY-Z21001);Fuzhou University Talent Project(510809/GXRC-19037);Fuzhou University Talent Project(510730/XRC-18075)


Based on the current development status of subway train driving technology in China and abroad, the four stages of subway train driving technology development were proposed and explained as manual driving, automatic driving, unmanned driving, and intelligent unmanned driving.After summarizing the construction situation of unmanned subway trains in China, the disadvantages of the current train control methods based on neural network-based machine learning methods were addressed.Then, the basic block diagram of metro intelligent unmanned driving based on man-machine hybrid intelligence was put forward and the deep fuzzy system was introduced.A promising solution for the combination of expert experience in dealing with emergency and interpretable AI algorithms for unmanned driving system to evolve into intelligent unmanned driving was provided.

Key words: metro, unmanned driving, artificial intelligence, intelligent unmanned driving, man-machine hybrid intelligence

CLC Number: 

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