Design Of Intelligent Traffic Guidance System At Crossroads

In recent years,traffic congestion has become more and more serious,the traffic lights of fixed conversion cycle can not be based on real-time traffic to ease the traffic,so that the traffic system is facing the problem of low utilization of traffic resources,so how to identify real-time traffic flow,Real-time traffic flow Intelligent control of traffic lights is a challenging and critical task.In the application of image processing to achieve vehicle traffic identification,the traditional motion target recognition algorithm to identify the low accuracy,so the improved background segregation algorithm through the existing background difference algorithm and interframe difference algorithm to improve,can achieve better traffic Identification accuracy,which according to the direction of the traffic flow on the traffic lights for intelligent control,the largest increase in traffic utilization.The overall scheme of designing intelligent traffic guidance system at crossroads.The system uses the real-time traffic image to carry on the image processing technology to obtain the real-time crossroads waiting for the vehicle length,according to the crossroads waiting for the length of the vehicle to control the traffic light in the general direction of the traffic ratio?green light signal to the entire signal length proportion?To achieve cross-traffic traffic intelligent guidance.In this paper,based on the study of the flow identification algorithm of traditional image processing vehicles,this paper focuses on the comparison of the optical flow method,the background difference method and the interframe difference method,and focuses on the traffic flow identification The Mullab simulation algorithm is used to verify the accuracy of the algorithm.The hardware part of this paper is divided into four parts,including camera module,image processing module,traffic light module,server module.Where the camera and the server are ready-made hardware,and the image processing module and traffic light module is developed by the hardware module.In the image processing module using the Samsung S3C6410 chip to do the module processing core,real-time traffic image traffic identification,and then the intelligent control of traffic lights,using WM_GMR₀9 wireless network module and other equipment to communicate.Traffic light module with STC12C5A60S2 do MCU,ESP8266 module is responsible for the module communication.All the image processing data uploaded to build their own server,the data statistics.Software design,including the creation of cross-environment,image acquisition module design,vehicle inspection module design,server module design,traffic light control module design.