During　COVID-19　pandemic,　analysis　on　virus　exposure　and　intervention　efficiency　in　public　transports　based　on　real　passenger＇s　close　contact　behaviors　is　critical　to　curb　infectious　disease　transmission.　A　monitoring　device　was　developed　to　gather　a　total　of　145,821　close　contact　data　in　subways　based　on　semi-supervision　learning.　A　virus　transmission　model　considering　both　short-and　long-range　inhalation　and　deposition　was　established　to　calculate　the　virus　exposure.　During　rush-hour,　short-range　inhalation　exposure　is　3.2　times　higher　than　deposition　exposure　and　7.5　times　higher　than　long-range　inhalation　exposure　of　all　passengers　in　the　subway.　The　close　contact　rate　was　56.1　%　and　the　average　interpersonal　distance　was　0.8　m.　Face-to-back　was　the　main　pattern　during　close　contact.　Comparing　with　random　distribution,　if　all　passengers　stand　facing　in　the　same　direction,　personal　virus　exposure　through　inhalation　(deposition)　can　be　reduced　by　74.1　%　(98.5　%).　If　the　talk　rate　was　decreased　from　20　%　to　5　%,　the　inhalation　(deposition)　exposure　can　be　reduced　by　69.3　%　(73.8　%).　In　addition,　we　found　that　virus　exposure　could　be　reduced　by　82.0　%　if　all　passengers　wear　surgical　masks.　This　study　provides　scientific　support　for　COVID-19　prevention　and　control　in　subways　based　on　real　human　close　contact　behaviors.