Research on Safety Total Information Awareness System Between Driverless Subway Platform Door and Train
The fully automated unmanned subway system eliminates the need for drivers and crew members,as it relies on real-time perception information from the ground control center to achieve unified and optimal control of trains and related facilities.This paper begins by providing a definition of the automated subway operation system and analyzes the specific risk characteristics of platform doors and track areas.It further identifies the need for safety information perception on the platform and track sides in the context of unmanned driving.Subsequently,an evaluation of existing information perception technologies is conducted,highlighting their strengths and weaknesses.Finally,a novel top-mounted machine vision-based comprehensive spatiotemporal information perception system is proposed.This system enables the detection of passenger flow and anomalous behaviors during train entry and exit,identifies foreign objects and their types between closed platform doors and trains,and detects foreign objects on the platform and track areas when the train is not present.The system provides full coverage of the supervision area for passenger boarding and alighting operations,delivering real-time images at a resolution of 1 920×1 080 or higher.It achieves a minimum detectable risk event size of 3 cm×3 cm.These cutting-edge technologies realize comprehensive spatiotemporal safety information perception between platform doors and trains,eliminating the fragmentation of functionality in rail transit systems and providing full support for the future development of intelligent rail transit information.
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