A vehicle-road cloud collaborative decision method and system based on multi-source high-precision perception
By employing a multi-source high-precision perception and hierarchical collaborative decision-making framework, the problem of response lag in vehicle-road-cloud collaborative decision-making systems under complex traffic environments has been solved, thereby improving the real-time performance and safety of the traffic system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- AI SUPER EYE TECH CO LTD
- Filing Date
- 2026-03-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing vehicle-road-cloud collaborative decision-making systems suffer from decision lag and information asymmetry in complex traffic scenarios, resulting in delayed response and low efficiency, failing to meet the needs of efficient and safe traffic management.
Data is collected by multi-source high-precision sensing modules, and the data is cleaned and spatiotemporally aligned to construct a spatiotemporal model of traffic scenarios. A graph model structure is defined and spatiotemporal feature dimensions and attention mechanisms are embedded to conduct risk area assessment and classification. A vehicle-road-cloud hierarchical collaborative decision-making framework is constructed to achieve dynamic feedback decision-making.
It enables highly coordinated and rapid decision-making among different levels in complex traffic environments, improving the real-time performance, accuracy, and safety of the traffic system.
Smart Images
Figure CN122416713A_ABST