For traffic command and dispatch business, realize the integrated presentation, monitoring, control, dispatch, and disposal of traffic resources, personnel, and events in the command center, and improve the comprehensive management and intelligence of the business.
For traffic order management business, realize the optimization and management of various traffic violations, parking management services, traffic organization optimization, and traffic congestion analysis.
For traffic safety prevention and control business, facilitate the timely discovery, prevention, and management of traffic safety hazards by the traffic police department, and assist in the intelligent improvement of source governance and "reduction and control" work.
The public security traffic management big data business think tank is positioned as an "intelligent body of traffic management business" with sustainable cognition and growth capabilities. It takes various traffic big data resource pools as the "energy" input, with intelligent management tools and business model arrays as the central engine, constructs and accumulates model libraries and algorithm libraries for traffic management business, and forms a cyclic collaborative mechanism of "information perception-analysis understanding-decision feedback", which can continuously improve the intelligence of business applications. It can provide in-depth empowerment for core business scenarios such as command and dispatch, congestion relief and management, order control, and safety prevention and control in the field of urban traffic management, continuously improve the intelligence level of various public security traffic management business scenarios, and effectively alleviate and manage urban traffic development problems.
Adopting the design concept of "big data + command and dispatch", a high-efficiency command system with multi-terminal collaboration, active prevention and control, and intelligent decision-making is built to achieve accurate prevention and control of all-round police situations, efficient dispatch of all resources, reasonable deployment of all-duty posts, and digital supervision of the whole process of law enforcement.
Adopting the design concept of "big data + safety prevention and control", a closed-loop business capability of traffic safety early warning prediction, hidden danger investigation, and hidden danger treatment is built to effectively reduce and control traffic accidents.
Adopting the design concept of "big data + order management", a governance system of traffic flow law discovery, order problem analysis and diagnosis, and traffic order governance decision-making is built to empower traffic order congestion relief and management business applications.
Adopting a visual drag-and-drop model construction system and method, innovatively realizes structural loose coupling and close collaboration in the collaboration between underlying business models and upper-level functional applications.
