Nowadays, urban traffic congestion is becoming more and more serious. Although the layout of intelligent transportation is constantly improving, traffic management still has little effect. There are many problems, such as data independent storage is difficult to integrate and apply, the internal laws of data are difficult to find, and the data lacks deep mining. How to solve them? Let's take a look at the urban traffic big data visualization solution!
Traffic dynamics are visible, and traffic management is simpler. "Big Data Visualization" can visually present the key data of the core system of urban operation, solve the personalized needs of traffic police from four dimensions: sensory, operation, application and data, and build in-depth application of business scenarios, thus opening up the shortest path from data to decision. Traffic managers can display complex and boring data by using various charts, trend charts and visual effects according to actual combat scenes, and then dig deep into the internal data rules, guide decision-making and help the healthy development of urban traffic.
The system architecture is clear and the scene is dynamic and clear. Through the front-end sensing system, the dynamic information of urban traffic can be obtained in real time. After the data fusion of each subsystem is analyzed to the data visualization platform, personalized views of traffic information in different scenarios are presented, thus providing guidance for the management and regulation of urban traffic.
0 1 Strong data source integration ability
Data access is flexible and changeable, supporting four data docking modes: static data, API, database and local data. Among them, the database type supports the mainstream MySQL, Oracle and MPP, which can meet the centralized gathering and display of massive, complex and diverse data, thus not only realizing the business processing on the surface of massive data, but also realizing deep information mining and discovering the true meaning of data by cleaning messy data and optimizing data structure.
Rich chart component building tools
Provides a variety of chart component tools, supporting more than 1 100 effect configurations, including pie charts, polar charts, maps, bar charts, etc. Users can combine according to actual application requirements. The combination of components formed by the large screen gives people a visual impact, not only simply representing numbers with charts, but also helping users discover the laws behind the data.
03 diversified scene templates
The data visualization platform provides a variety of application scenario templates, and reasonably uses matching colors, layouts and components to solve user design problems. Simple decoration is enough, and the commercial panorama is clear at a glance.
04 graphical editing interface
Users can also complete style editing and data configuration through friendly graphical editing mode, create their own personalized demand templates and share them, and can easily build visual applications without programming ability.
Data visualization is powerful, and application scenarios are everywhere. Daily road network operation monitoring and collaborative management, traffic alarm analysis and judgment, and key people and vehicles management are carried out from multiple angles, so as to meet the requirements of traffic monitoring and supervision under normal circumstances and collaborative disposal command and dispatch under emergency, and meet the application requirements of various scenarios in the transportation industry.
0 1 traffic situation visualization
Through the analysis of a number of core traffic data, the traffic situation assessment is realized, and the traffic management department is assisted to dynamically track and monitor the congestion state and predict the changing trend according to the traffic assessment results, which provides quantitative index basis for traffic planning and traffic optimization.
02 facility operation and maintenance management
Visual operation and maintenance is based on the running status of various devices in the system, which can reflect the fault point information in time and intuitively, including the online status, intact rate and fault type of the devices, help the operation and maintenance personnel solve problems, improve efficiency, simplify operation and maintenance, and more effectively guarantee the smooth operation of the intelligent transportation system.
03 key vehicle control
Through the construction of key vehicle control scenes, users can intuitively understand the types and quantities of all key vehicles in the area and the number of passes issued, realize real-time monitoring and alarm of blacklisted vehicles such as suspected vehicles, controlled vehicles, vehicles involved in the case and key vehicles, and strengthen traffic control.
04 traffic accident analysis
According to historical traffic flow, traffic violations, traffic accidents and other data, induction, comprehensive and thematic analysis are carried out, so as to achieve the purpose of scientific and detailed management and provide decision-making basis for traffic management departments to optimize traffic organization, police deployment and equipment layout.
The above is the introduction of urban traffic big data visualization solution.
This scheme not only breaks through the data barrier between traffic police business subsystems, but also excavates the real value of traffic big data. Abundant view displays meet the needs of practical application of data visualization scenes. Traffic management departments can control traffic flow and dispatch police forces through clear and visible traffic dynamic maps, which has greatly improved the management and healthy development of urban traffic.