Chinese Journal of Intelligent Science and Technology

   

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

LAI Wenzhu, CHEN Dewang, HE zhengfeng, DENG Xinguo   

  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

Abstract: 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 intelligent unmanned driving of metro train based on human-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, humanmachine hybrid intelligence

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