Chinese Journal of Intelligent Science and Technology

   

Research on metro train driverless system based on man-machine hybrid intelligence

HUANG Benzun, 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 development status of subway train driving technology at home and abroad, the necessity of subway train intelligent driving development and research was expounded. In view of the poor interpretability of machine learning algorithms used in current unmanned driving, with an introduction of fuzzy system, a metro train unmanned driving system based on man-machine hybrid intelligence was proposed,which realized man-machine hybrid intelligence in two ways. The subway train driverless system combined with cognitive system was explored, which a future-oriented solution for the realization of strong artificial intelligence subway train driverless system in the real sense was provided.

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

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