The Study Of Urban Traffic Trajectory Visualization Analysis

With the development of urbanization,the number of vehicles keeps increasing,and the urban traffic situation is becoming more and more cumbersome.In daily life,people driving vehicles,have a regular driving route but they are not aware of other routes which leads to traffic congestion,vicious circle that increase the cluster of congestion.With the emergence of big data and the development of computer technology,we can use data visualization analysis technology,in the existing urban road scale,to avoid obliviousness and habits caused by the vicious circle.This thesis has done the following work:(1)In this thesis,a node search algorithm BFJS(breadth-first node judgment algorithm)is proposed.This algorithm combines the advantages of BFS algorithm and the special requirements of the node search process.BFJS algorithm has the advantages of high efficiency and accuracy.It can quickly search all the congestion nodes in a region.(2)Spatiotemporal database.In this thesis,we use the GPS trajectory data of vehicle,which has time,space,longitude and latitude attributes,and establish time-space database to manage a large number of dynamic data objects.The GPS data is processed to remove the unavailability of the sample points to achieve the accuracy of the data.(3)Build road network.The road network is processed and the road network is defined by the structure of the graph.Letting the GPS data and map to match each other.An improved node search algorithm is used to search for congested nodes and visualize the congested nodes on the map.On the basis of visualization,we can determine the congestion time,congestion type and congestion range of a congested area.When people driving the vehicle,they can spontaneously avoid the congested road sections and congestion time,to solve the habitual and obliviousness caused by vicious circle.(4)This thesis presents an analytical model.The analysis model consists of Cartesian coordinate system and parallel coordinate system.The Cartesian coordinate system is used to visualize the point or intersection velocity time point.The parallel coordinate system is used to visualize the adjacent road velocity pattern and verify the correlation.The visual analysis model proposed in this study can be used to analyze the pattern of congested areas and solve the problem of vicious circle of traffic congestion and the obliviousness of vehicles.The results of visualization analysis are in accordance with the actual urban traffic conditions,which shows the feasibility and accuracy of the method.