Intelligent Transportation Solution -- Multi-source data fusion, reconstructing an efficient, safe and sustainable urban transportation network

Program Value
Through AIoT (Artificial Intelligence Internet of Things) and digital twin technology, real-time sensing of traffic flow, road conditions, signals and environmental data to create an integrated platform of “sensing-decision-making-regulation”. Dynamically optimize traffic flow distribution, reduce urban congestion rate by 20%-40%, and improve public transportation punctuality and citizens' travel experience.


Core Functions

Territorial sensing:
Fusion of camera, radar, vehicle terminal and other sources of data to generate real-time traffic heat map;
Intelligent decision-making:
AI engine synchronously analyzes traffic flow, weather, and events (e.g. traffic accidents) to automatically optimize signal timing;
Predictive management:
Based on historical data and simulation modeling to predict the traffic situation within 30 minutes and ease congestion in advance;
Vehicle-Road Collaboration:
Supports V2X communication and pushes danger warnings to vehicle terminals.
Technical Advantages

Millisecond response: Edge computing node realizes local processing of key data, signal light regulation delay <100ms;
Multi-system linkage: seamlessly connecting to traffic police command center, bus scheduling system, navigation platform (architecture diagram: multi-platform data interaction logic);
Accurate simulation: 1:1 restoration of urban road network by digital twin engine, pressure testing of traffic control schemes (example: simulation of emergency lane activation in rainstorm weather).
Application Scenarioses

Urban roads: dynamic tidal lane control during peak hours;
Highway: mass fog warning + intelligent speed limit system;
Public transportation: bus priority access + arrival prediction accuracy >98%.
Security and Expansion
Supports public cloud/hybrid cloud deployment, encrypted data transmission and passes Level 3 certification, open API access to third-party maps, in-vehicle OS and smart city platforms.