基于动态光与气象因子的交通事故预测方法及系统
By collecting and processing road images, meteorological data, and traffic flow conditions, collision avoidance control commands are calculated and generated, solving the problem of insufficient prediction of traffic accidents caused by dynamic light and meteorological factors in existing technologies, and realizing efficient risk identification and early warning.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 广西计算中心有限责任公司
- Filing Date
- 2025-07-10
- Publication Date
- 2026-07-17
AI Technical Summary
Existing traffic accident prediction technologies fail to effectively handle the risks of complex scenarios caused by dynamic light and weather factors, resulting in high false negative rates, slow response, and inability to accurately warn of rear-end collisions in severe weather.
By collecting road images, meteorological data, and traffic flow status, the system calculates the glare area ratio, light intensity, meteorological threat value, light risk level, environmental sensitivity coefficient, environmental glare intensity index, and traffic impact coefficient, ultimately generating collision avoidance control commands and optimizing early warning decisions by combining spatiotemporal causal reasoning.
It significantly improves the ability to identify risks in complex scenarios, reduces the occurrence of rear-end collisions in severe weather, enhances the foresight and accuracy of early warnings, and enables proactive interception and targeted emergency response.
Smart Images
Figure CN120612816B_ABST