Research And Application Of Key Technologies For Passenger Distribution Support In Hub Stations Based On Visual Recognition

Comprehensive passenger transport hub stations can improve the efficiency of the combination of various passenger transport modes,take their overall advantages,carry out the construction of comprehensive passenger transport hub information system and greatly promote the intensive integration of transport resources.While computer visual recognition technology can provide a good all-round real-time perception about the crowd gathering,length of stay,collection and distribution of passenger flow in the integrated passenger transport hub.Therefore,this thesis based on computer visual recognition technology to research and implement the real-time collection of passenger flow data in comprehensive passenger transport hub.According to the integrated modeling and data analysis computation,this thesis realizes the regional and refined passenger flow monitoring.The passenger flow forecast of the project is based on historical data.The passenger transport hub station depends on the technology to assist the emergency command and decision-making,and prevent serious crowd gathering and stampede events,improve the safety prevention level in transport hub stations,provide basic data for formulating and adjusting corresponding emergency measures.This paper’s main innovation points are as follows:(1)Based on the computer visual recognition technology,it proposed and realized the automatic collection of passenger flow data from large transportation hub stations.It improved the passenger flow monitoring algorithm.(2)It accesses historical monitoring data and real-time passenger flow data from the database.The project forecasts the traffic flow of the transportation hub.The research results can alleviate the pressure of transportation and improve the operational efficiency of transportation hubs.