Application of Active Obstacle System in Subway Unmanned Driving Project

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Authors: Chaoran Teng, Jialin Sun, Yuqi Xiong, Guofeng Zhang, Chen Wang, Jiping Ma
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Abstract

With the rapid development of urban rail transit, unmanned driving technology for subways has gradually become an industry trend. The active obstacle system, as a key technology to ensure the safe operation of subway unmanned driving, can actively perceive obstacles in the track area and provide reliable safety protection for train operation[1]. This article explores in depth the application of active obstacle systems in subway unmanned driving projects, analyzing their system composition, working principles, application scenarios, as well as the challenges and response strategies they face. The aim is to promote the widespread application and sustainable development of this technology in the subway field, and enhance the safety and reliability of subway unmanned driving

Fields of Study & Subjects

Technology and Security Systems Railway Systems and Energy Efficiency Robotic Path Planning Algorithms

Publication details

Journal / source
Advances in transdisciplinary engineering
Publication date
8 January 2026
Document type
Book chapter