Design And Implementation Monitoring Experiment Platform Of Metro Passenger Flow

With the rapid development of the subway industry, the flow of high passenger densitygathering in station brings a lot of problems to the operation and safety of the rail. Therefore,monitoring the passenger flow and congestion in the station related to passenger informationhas become more and more important. There is extremely vital significance to acquisitpassenger information on rail for intelligent decision, controling and warning of transportationmanagement etc. Detecting and tracking technology of passenger flow has become one of themost important methods to solve traffic passenger safety and congestion problems.This thesis mainly includes the following: First describe the research background, thecurrent passenger flow detection system problems and the key technologies used in this thesis.Secondly, for the subway passenger flow detection problems, put forward the detection andrecognition algorithm based on matching image feature through the introduction and analysisof passenger flow detection and recognition technology, optimizing the algorithm. Thenpropose the target tracking in the analysis of the algorithm for feature tracking algorithm andmoving object chain based on centroid tracking algorithm, tracking the characteristics ofpassenger flow and obtaining the characteristics of velocity, flow and density. Finally,working out the program flow detection algorithm using the technology of hybridprogramming with Matlab and Visual C#,realize the function of image detection, trackingand traffic statistics through the simulation platform of subway passenger flow detection,verifying the reliability, validity and real-time of subway passenger flow detection algorithmproposed in this thesis.