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

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 o...

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Bibliographic Details
Published in:智能科学与技术学报
Main Authors: Benzun HUANG, Dewang CHEN, Zhenfeng HE, Xinguo DENG, Marano GIUSEPPECARLO
Format: Article
Language:Chinese
Published: POSTS&TELECOM PRESS Co., LTD 2022-12-01
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Online Access:http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202205
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Summary: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.
ISSN:2096-6652