地铁列车驾驶技术发展概况：从手动驾驶到智能无人驾驶

摘要： 基于国内外地铁列车驾驶技术的发展现状，提出并解释了地铁列车驾驶技术发展的四个阶段：手动驾驶、自动驾驶、无人驾驶和智能无人驾驶。在总结了我国无人驾驶地铁列车的建设情况后，针对目前基于神经网络机器学习方法的列车控制方法存在的不足进行了阐述。

然后，提出了基于人机混合智能的地铁列车智能无人驾驶基本框图，并介绍了深度模糊系统。提供了一个有前途的解决方案，将处理紧急情况的专家经验和无人驾驶系统的可解释人工智能算法演变为智能无人驾驶。

关键词: 地铁, 无人驾驶, 人工智能, 智能无人驾驶, 人机混合智能

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 introd