Analysis And Research On Passenger Flow Of Intelligent Public Transportation System Based On Internet Of Things

With the improvement of people’s living standard,urban development faster,more and more cars,road area per capita decreased year by year,road traffic congestion problem more and more serious,the development of urban public transportation priority strategy is put forward and the practical application for six years.The top priority is to urban public traffic of urban traffic,public transport as an important part of urban traffic,is an important approach to solve urban traffic congestion,the stand or fall of its operation situation directly reflect to the government’s public service ability and level.Passenger flow is the important basis of the bus dispatching operation and planning.Bus lines is the basic characteristics of passenger flow for its space and time distribution inhomogeneity,passenger flow characteristics not only affect the city and city bus passenger train operation organization,but also affect its long-term passenger transportation planning,thus research and fully grasp its regularity is very important.In this paper,based on Internet of things technology,information of intelligent transport system awareness and stand load sensing subsystem for passenger flow analysis and the research background,to reform the burglar coin-operated machines to infrared count,will be completed coin machine transfer data in a timely manner to the backend server traffic data collection,after data transmission mechanism analysis,create a database,based on the proposed combining RFID auxiliary positioning with GPS tracking localization way for positioning the stops.Video perception in vehicle terminal access to dynamic traffic video data,based on Davinci video identification technology,to detect moving targets,according to the characteristics of the detected value of continuous tracking,finally,the target recognition and behavior analysis.Based on real-time video image data of passenger flow analysis results,different forms of passenger flow analysis.Using genetic dynamic hybrid ant colony algorithm,based on the results of passenger flow analysis,the optimizing bus station and line network,the depth of the realization of the passenger flow analysis.