Automatic Train Operation System Based on Vehicle Deep Integration

Abstract

Objective Conventional ATO (automatic train operation) systems lack a direct, real-time, and bidirectional data exchange with the vehicle traction/braking systems. In the vehicle control process, information on the vehicle traction/braking status and capabilities is not available, which can lead to issues such as control commands from the ATO system not aligning with actual vehicle capabilities, long control cycles, and low parking precision, calling for a need to achieve deep integration between ATO and vehicle systems. Method The working principle and limitations of conventional ATO systems are discussed. The ATO system based on deep vehicle integration (hereinafter referred to as Integrated ATO) is introduced. The integration optimization measures of the Integrated ATO system in terms of system architecture, information transfer, vehicle interfaces, and system functionality are elucidated. A comparative analysis is conducted between conventional and Integrated ATO systems to highlight the advantages of the latter. Result & Conclusion The Integrated ATO system cancels the interlink between ATO and vehicle traction/braking systems, reduces communication links to enhance richness and transparency of information transfer between them. The Integrated ATO system leverages the characteristics and advantages of both the vehicle and signaling systems, enhancing the coordination between ATO system and traction/braking systems, thereby improving overall control effectiveness.

Keywords

• urban rail transit
• ato system
• vehicle system
• integration design