| In recent years,with the rapid improvement of social economy,scientific and technological level and people’s living standard,the number of motor vehicles has also increased rapidly.However,the growth rate of urban infrastructure is far from enough to meet the increasing demand of motor vehicles,resulting in more serious urban road congestion.With the occurrence of congestion,it will increase the cost of public travel,aggravate environmental pollution and even become an important factor hindering economic development.Congestion prevention is the core and most effective method to reduce traffic congestion from the source.Although a city has been used to monitor the traffic situation of the system,but the existing system has low accuracy of traffic data,data utilization rate is low,the page response is slow,the traffic manager work guiding significance is not big.In order to alleviate the traffic congestion situation,facilitate traffic management personnel to fully grasp the traffic situation and make full use of the existing data,so combined with the topography and landform of a city,comprehensive road traffic of a city to the prevalence of RFID equipment,It is imperative to re-tailor a traffic situation research and judgment system for a city that integrates real-time traffic monitoring,congestion prediction,historical research and judgment,and path comparison.To meet the customers’ requirements to design and implement a set of traffic situation analysis system,this paper mainly completed the work of the following four parts: the first part is the research the traffic managers in the actual demand of road traffic monitoring,with the help of a use case diagram and use-case diagram analysis of functional requirements,and dig out the system should meet the performance requirements.The second part is the outline design of the system.The B/S three-tier system architecture is designed based on the idea of separation of front and back.The functional modules are split by the idea of micro-service.The third part is the detailed design of the system.Spring Cloud,Spring Boot,Spring MVC and other frameworks are used in the background.JAVA development language is used in the background,and the modules of network background management,authority management,real-time monitoring,congestion prediction,historical research and judgment,and path comparison are designed in detail with the help of class diagram and timing diagram.And on this basis to complete the coding implementation,and use the Vue.js front-end framework,combined with IView components,Echarts to complete the development of the front-end page.The fourth part is the system test.Test cases were written for each function and tested according to the steps.In case of problem code,modifications were made in time and regression tests were carried out to ensure the integrity and correctness of the system function.In the system performance test,the JMeter tool was used to test the average response time of each core function under the number of 100 concurrent users.After 100 times of testing,the average value of each function was obtained.Finally,the conclusion that the test passed and the user needs were met was obtained through analysis of the test results.The system has been fully developed and successfully launched.The user feedback that the system is stable and reliable,which can meet the actual work needs of traffic managers.Through rational analysis of RFID data effectively,and the system in real-time monitoring and the prediction of congestion,and to history,path network comparison,the background data configuration,rights management,and other functions on the performance is good,make traffic managers work more efficient,to ease traffic congestion and control,citizens travel traffic experience more at ease. |