Workflow of the proposed research. H. Jo, Y. Li, L. Lim and J. W. Chong, "Passenger Trajectory Model and Passenger Movement Estimation System for Preventing Passenger Subway Door Accidents," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2026.3702710.
A research team led by Professor Jo Woon Chong of the School of Electronic and Electrical Engineering at Sungkyunkwan University (SKKU), in collaboration with researchers from KAIST and Texas Tech University in the United States, has developed the Passenger Movement Estimation System (PMES). This AI-based system predicts passenger movements using CCTV footage to prevent subway door entrapment accidents before they occur.
Overcoming the limitations of conventional reactive methods, in which sensors trigger only after a passenger has entered the danger zone, the system proactively identifies risks before passengers reach the boarding area. The findings are published in IEEE Transactions on Intelligent Transportation Systems.
Chong, who has led research at Sungkyunkwan University on human-centered AI, multimodal signal processing and AI-embedded systems, oversaw the study. Hee Jo, the first author and a Ph.D. student, led the data analysis and AI model design.
