차상중심 환경인지 시스템 기반의 열차 자율주행 제어기술 개발

To overcome the limitations of conventional ground-centered train control systems, this study investigates an Automatic Train Control System (ATCS) incorporating on-board centered environmental perception sensing technology. Traditional systems achieved a minimum train interval of 90 seconds through Communication-Based Train Control (CBTC) technology, yet the dependency on ground infrastructure limits real-time responsiveness and operational flexibility. The proposed on-board centered environmental perception system-based ATCS enables autonomous train operation based on dynamic environmental data collected from ground and on-board sensor modules. Testing on an actual test track validated the use of temperature and humidity sensing data to control train speed and acceleration within the ATP (Automatic Train Protection) and ATO (Automatic Train Operation) systems. Through speed restrictions and deceleration adjustments under high temperature (80°C) and high humidity (90%) conditions, trains were configured to operate at safe speeds, and the total delay time from data collection to control action application was maintained below 0.5 seconds. The proposed system meets the required performance standards, demonstrating its ability to facilitate safe and efficient autonomous train operation based on real-time environmental perception data.