Build an integrated command and dispatch platform to realize visualized management and precise dispatch of road resources such as traffic police, auxiliary managers, and obstacle-clearing vehicles; support the "one-click police dispatch" function, and establish a linkage mechanism with emergency departments such as 110 and 120 to realize rapid response and collaborative disposal of emergencies.

Establish a multi-level traffic guidance system, and realize precise push of traffic information through various channels such as variable message signs, navigation apps, and radio stations; based on real-time traffic congestion index and prediction data, provide drivers with optimal travel route suggestions; support personalized guidance information release, providing customized information services for different types of vehicles such as buses and emergency vehicles.

Relying on AI video analysis technology, realize automatic identification and capture of behaviors such as running red lights, retrograde driving, and illegal parking; support video backtracking query to provide support for accident handling and law enforcement evidence collection; combined with GIS maps, realize 2D and 3D visualization of monitoring screens.

Realize adaptive control of signal lights based on real-time flow and prediction data. Support advanced control strategies such as variable lanes, multi-vehicle serial U-turn, and bus-priority green wave, improve intersection traffic efficiency, and have the ability to quickly switch between multiple time periods and multiple plans. Combined with single-point adaptive and system optimization capabilities, it can target bottleneck control for congested road sections; take regional traffic status as a trigger condition for demand control in congested areas; through collecting road condition information, target pedestrian secondary crossing control; through identifying congestion status, it can conduct trunk green wave and red wave control in different time periods.

Through multi-source data fusion analysis, build a global traffic situation awareness system, dynamically display key indicators such as flow, speed, and density, identify congestion hotspots and abnormal events, and support management decisions.

The system has the ability to automatically detect and alarm abnormal events, supporting real-time identification and reporting of events such as retrograde driving, abnormal parking, and congestion; combined with the emergency plan library, it automatically generates disposal suggestions, realizing closed-loop management of "pre-event warning - in-event disposal - post-event review."