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

作　　者：黄本遵 陈德旺 何振峰[1,2] 邓新国[1,2] GIUSEPPE CARLO Marano HUANG Benzun;CHEN Dewang;HE Zhenfeng;DENG Xinguo;GIUSEPPE CARLO Marano(College of Computer and Data Science,Fuzhou University,Fuzhou 350108,China;Key Laboratory of Intelligent Metro of Universities in Fujian,Fuzhou University,Fuzhou 350108,China;School of Transportation,Fujian University of Technology,Fuzhou 350118,China;Politecnico di Torino,Turin EI10129,Italy)

机构地区：[1]福州大学计算机与大数据学院,福建福州350108 [2]福州大学智慧地铁福建省高校重点实验室,福建福州350108 [3]福建工程学院交通运输学院,福建福州350118 [4]都灵理工大学,意大利都灵EI10129

出　　处：《智能科学与技术学报》2022年第4期584-591,共8页Chinese Journal of Intelligent Science and Technology

基　　金：国家自然科学基金资助项目(No.61976055,No.61906043);福建省财政厅教育科研专项资金(No.GY-Z21001);福州大学人才项目(No.510809/GXRC-19037,No.510730/XRC-18075)。

摘　　要：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.

关 键 词：地铁 无人驾驶 人机混合智能 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论] TP18[自动化与计算机技术—计算机科学与技术]