Local Traffic Situation Analysis And Visualization System Design For Urban Ring Road

The traffic congestion problem of urban ring roads is becoming increasingly serious.The local traffic situation analysis and visualization system can provide accurate and real-time traffic situation information for the traffic department,which can alleviate the traffic congestion,improve traffic efficiency and reduce the accident rate.However,the current research on urban road traffic situation based on numerous influencing factors is relatively broad.There are few studies on sample information analysis and visualization system of traffic situation related factors of local loop sections.At the same time,there is a lack of feedback strategy analysis studies,which brings great difficulty to improve the degree of traffic congestion.Motivated by this fact,we study the local traffic situation analysis and visualization system design of urban loop roads.The main work and contributions are as following:(1)For the local traffic situation analysis problem of urban ring road,the element information is sampled based on the existing sensing equipment,and the correlation of traffic situation element information is analyzed using the principal component analysis method.On this basis,the data is preprocessed with cubic spline interpolation and wavelet denoising method.Moreover,the visualization model of local traffic situation focus on four steps: the visual demand analysis,the gain of visual perception elements,the situation awareness and evaluation process and the implementation of decision making and feedback.It can improve the analysis efficiency of the local traffic situation of the urban ring road.(2)In view of the design and implementation of the local traffic visualization system of urban ring road,the overall framework of the local traffic visualization system of urban ring road is designed by analyzing the essential information,model characteristics and system requirements.The framework includes the visual interface and data storage and optimization.In details,the visual interface includes these parts: user management,data interaction,situation assessment,user perception information,traffic situation awareness element information,perception information filtering and feedback strategy viewing.The data storage and optimization includes the storage and processing of user configuration and the data information on situation awareness process.(3)To verify the feasibility of the designed system from the system testing,deployment and application aspects,there are three essential verification parts.Specifically,combined with the existing testing methods and Apache Bench testing tools,the visual software system is tested including functional and non-functional tests.The elastic deployment and visual application of cloud server are realized with Docker container and element acquisition equipment.The results validate the great request bearing capacity and high application expansion capacity,which can provide useful reference for related traffic departments to strengthen traffic management.