基于人机混合智能的地铁列车无人驾驶系统研究

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

基于国内外地铁列车驾驶技术的发展现状,阐述了地铁列车智能驾驶发展及研究的必要性。针对当前无人驾驶采用的机器学习算法可解释性差的缺陷,引入模糊系统,提出了基于人机混合智能的地铁列车无人驾驶系统,以两种方式实现人机混合智能。探索了结合认知系统的地铁列车无人驾驶系统,为实现真正意义上的强人工智能地铁列车无人驾驶系统提供了一种面向未来的解决方案。

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.