Visualization Interaction And Analysis System For Traffic Data In Karamay

The Karamay Traffic Police Detachment has more than ten traffic management platforms.The data between the platforms is not shared,the functions are redundant and lack of data visualization,these have brought a lot of inconvenience to the urban traffic management work,and the past police deployment and accident prevention are often according to the experience and subjective judgment of the traffic police,and this way lack of certain scientific basis.In view of the above problems,this paper designs and develops the visualization interaction and analysis system for traffic data in Karamay.Accident collection,data visualization,the establishment of accident time and space model,accident prevention are studied in this paper.The main research contents are as follows:(1)Develop app to realize the functions of accident collection and rapid processing,check-in and check-out,data upload and abnormal reporting.(2)Explore the temporal and spatial distribution of Karamay accident.Using K-means algorithm and big data statistical thinking to establish accident time and space model to realize the prediction of high-incidence areas in the next week,and provide certain data support for police deployment,service formulation and accident prevention and control.(3)Develop a web platform using SSM framework to realize the comprehensive management of traffic data in Karamay.The visualized display and interaction of traffic data are further realized by map,heat map,Mapv,ECharts,Web GL and other technologies.After the application of the system designed in this paper,it has achieved certain results in reducing the workload of traffic management personnel and improving the accident prevention and control system.