The Recognition And Application Of Vehicle Trajectory In Logistics System

With the rapid development of economy and logistics transportation industry in recent years,the number of motor vehicles and the throughput of logistics are also growing rapidly,resulting in more and more serious traffic safety problems,which bring about the travel and quality of life for people A lot of trouble,how to effectively monitor the traffic vehicles and vehicle trajectory behavior has become one of the hot spots in the community.In order to fundamentally solve the problem of traffic safety and other issues,people are increasingly concerned about how to use a variety of computer information technology to achieve effective management of vehicles in the traffic,in order to solve traffic congestion and traffic safety issues.With the rapid development of image processing technology and computer vision,intelligent transportation system based on real-time video analysis is getting more and more attention.It is one of the important research contents of intelligent transportation to detect the vehicle target accurately from the video frame sequence.By analyzing real-time traffic video taken by cameras on the road,real-time detection of vehicle position and trajectory information to analyze the vehicle's driving conditions and a series of problems,which can effectively monitor traffic in vehicles,which greatly improves Traffic efficiency and traffic safety.In this paper,deep learning technology is used to intelligently identify vehicles in traffic video,and on this basis,the trajectory information of vehicles in driving process is extracted and analyzed,which is used to analyze and judge the driving status of vehicles so as to effectively supervise complex traffic,To a certain extent,improve the safety of the whole transportation.In this paper,we mainly study the current technologies of vehicle target recognition and trajectory recognition,and use the technology of convolution neural network(CNN)to extract vehicle targets in traffic video.Based on this,Track related analysis to determine.The system of this paper mainly includes vehicle target recognition module and vehicle trajectory recognition module.Through the camera at the junction of the running vehicle video collection,real-time video analysis of the vehicle,and the analysis of the data uploaded to the server records for the follow-up behavior analysis of vehicles in order to assess the entire logistics process of vehicle transport status.After performing the related functional tests on the prototype system,the test results show that the system can effectively extract the target of the logistics vehicles from the complex traffic video and perform real-time trajectory tracking to meet the requirements of real-time video analysis in real time and accuracy.