The intelligent traffic control platform, driven by information technology, integrates intelligence analysis, command and dispatch, investigation and control, traffic information dissemination, intelligent law enforcement analysis, duty supervision, signal control optimization, special security, and duty management. It leverages technologies such as big data, cloud computing, artificial intelligence, and video analysis to facilitate information interconnection, intelligent learning, and deep exploration. This platform achieves the integration and sharing of traffic information resources, rapid judgment and decision-making, and flat command and dispatch, leading to visual traffic command, digital management, and information sharing. It enhances the road traffic management capabilities and service levels of the traffic police department.

Key Features and Functions:

•  New-Value Data Mining:

The platform combines network convergence, data fusion, AI computing, traffic information services, comprehensive traffic facility control, traffic control, vehicle-road coordination, and comprehensive system energy management to merge multidimensional data.

•  Deconstruction of Urban Traffic Systems:

Key indicators such as road network capacity, travel demand, and road network status are used to deconstruct the urban traffic system into clustered units with different traffic control strategies, effectively alleviating congestion.

•  High Cost-Effectiveness of Construction Investment:

The platform utilizes existing (or new) systems such as traffic cameras, signal lights, and video surveillance, and integrates them with GIS information platforms. This approach equips the city's traffic with a "brain," achieving self-awareness, self-regulation, and self-optimization of urban traffic.

•  Shared "Traffic Brain":

The platform's analytical results can be shared with other related business systems (such as traffic command platforms) through standard interfaces, providing these systems with intelligence.

•  Fine-grained Traffic Control:

Congestion analysis is detailed down to factors such as whether traffic capacity matches, whether the spatial and temporal distribution of traffic demand is reasonable, and whether signal control phases are balanced. It finely categorizes frequent and occasional vehicle travel demands.

•  Personalized Travel Services:

Based on the characteristics of travel demand and the status of road network traffic, signal control systems, WeChat platforms, and more, the platform provides personalized and considerate services to enhance the satisfaction of traffic participants.