| With the development of our country’s social economy and the acceleration of urbanization,the urban population and the number of motor vehicles have increased sharply,which has brought a series of problems such as traffic congestion and environmental pollution,and brought challenges to urban traffic management.In order to alleviate the traffic congestion in the urban road network and realize the sustainable development of urban traffic,it is necessary to judge the traffic operation status of the urban composite road network and use this as a basis to solve the urban traffic problem.With the rapid development of digitalization and information technology in China,massive urban traffic data are presented to managers,researchers,and technicians in the field of transportation.Using traffic big data analysis technology to dig out traffic operation rules from massive urban traffic big data provides new ideas for traffic planning and traffic management.This article uses the traffic data generated in the process of urban traffic operation and other basic data as data support to establish the association between multi-source data,and uses flow as the indicator of traffic operation status.Combining with the traffic big data mining technology,the urban composite road network operating status identification system was designed and developed.Through visualization forms such as statistical graphs,OD matrix graphs,scatter graphs,and heat maps,a multi-view interactive visual analysis of urban transport passenger flow was realized,and then realizing the in-depth mining and analysis of multi-source urban traffic big data and improving the utilization efficiency of urban traffic big data,which are of great significance for exploring the association between the various traffic modes in the composite road network,and the travel rules of a single traffic mode.This article first studies the key technologies used in the development of the urban composite road network operating state identification system,including the Node.js platform,Express framework,MySQL database and visualization tool echarts.The characteristics and application advantages of each key technology are described in the article.Secondly,this article analyzes the requirements of the system from two aspects: functional requirements and non-functional requirements.Among them,functional requirements mainly include data storage function,data preprocessing function,traffic model calculation function,passenger flow data visualization function,and user management function.Non-functional requirements mainly include safety,ease of use,ease of maintenance,and scalability.Then,based on the demand analysis of the system,the overall framework of the system is designed.The overall framework of the system adopts the B/S(Browser/Server)architecture,which divides the system into data access layer,business logic layer and presentation layer.According to the system requirement analysis and overall framework design,this article focuses on urban public transportation,and uses Nanjing Metro related data and conventional public transportation related data as data support to further design each functional module of the system in detail.And the processing flow,processing method,and realization goal of each functional module are elaborated in detail.Finally,the system development environment is set up: the installation and testing process of Node.js,the installation and testing process of MySQL are introduced,and the project directory is created using the Express framework.The article completed the creation of the database,data storage,data preprocessing and data analysis.The connection between the database and Node.js is established to realize the functions of user registration,login and user management.It also presents the realization effect of the system’s front-end visualization interface.The front-end visualization interface is divided into homepage,statistical graph interface,subway-bus interface,rail transit interface,and bus interface.Multi-views are used to interactively explore the analysis and calculation results of Nanjing’s urban public transportation data,and basically realize the pre-designed functions of the system. |