Research On Key Technologies Of Visualization System For Traffic Big Data

With the rapid development of urban traffic,it has brought about prominent problems such as traffic congestion,serious shortage of road capacity,insufficient traffic facilities and lack of overall development strategy.The ability to obtain traffic big data timely and accurately and visually present the temporal and spatial characteristics of traffic big data is a prerequisite for solving traffic problems.The development of transportation big data visualization system has brought new ideas to the above problems,greatly improved transportation services,and promoted the faster development of intelligent transportation.To solve the problems of complex urban traffic data and low utilization rate,the visualization system of big traffic data for modern Chinese cities is designed and developed.On a theoretical basis,the spatial-temporal correlation of urban road network is deeply analyzed by studying the spreading mechanism of urban traffic congestion.According to the traffic flow characteristics of urban road network,the spatial delay operator theory is introduced to improve the traditional local spatial-temporal correlation measurement method,and the spatial-temporal correlation measurement index analysis of multiple adjacency relations is proposed.The variation characteristics of urban traffic flow in time and space dimensions are studied from the global and local perspectives respectively.At the level of development technology,the front end displays visual interaction interfaces of traffic big data center,traffic event management,static material management and other modules in strict accordance with the idea of hierarchical design,while the back end uses Java Web technology to realize orderly management of road network,traffic facilities,traffic events and other complex data,and develops congestion analysis module based on the improved spatio-temporal correlation measurement index analysis method,to realize the expression of theoretical research on spatio-temporal correlation.The development of the system clearly presents the complex traffic data in the form of data statistical result graph on the client,which provides a way to solve the problems of urban traffic congestion and short-term flow prediction,and greatly facilitates the decision judgment of urban managers.Figure 33;Table 5;Reference 50...