Automated Real-Time Weather Detection System using Artificial Intelligence
| 项目名称： | Automated Real-Time Weather Detection System using Artificial Intelligence |
| 摘要： | Adverse weather conditions, such as snow, rain, and fog, can directly impact roadway safety, by reducing the visibility and roadway surface friction, negatively affecting vehicles' and drivers' performance. In Wyoming, the number of snow-related crashes are particularly significant. Merely in winter 2018, there were 1,438 snow-related crashes, which resulted in fatalities, extended closures, and significant economic loss. Therefore, detection of real-time weather conditions and providing timely Traveler Information Messages to drivers are crucial for safe driving. The state-of-practice of broadcasting road weather information to travelers has been predominantly based on sporadic and expensive Road Weather Information Systems. With consideration of the limitations of the existing weather detection systems, and in view of the opportunity of the emerging video-image processing technologies, this research aims at developing an affordable weather detection system, which will use video images collected primarily by the WYDOT roadside fixed webcams and secondarily by examining the feasibility of extending the algorithms to snow plows trajectory-level cameras. The product of this research will assist WYDOT with providing road users with accurate and reliable road surface weather conditions, resulting in safer travel decisions and more conservative driving behaviors to mitigate the negative impacts of adverse weather on traffic safety. |
| 状态： | Active |
| 资金： | 162315 |
| 资助组织： | Wyoming Department of Transportation |
| 项目负责人： | Garcia, Vince；Tolliver, Denver |
| 执行机构： | University of Wyoming, Laramie<==>Mountain-Plains Consortium |
| 开始时间： | 20200106 |
| 预计完成日期： | 20220531 |
| 主题领域： | Data and Information Technology；Environment；Highways；Safety and Human Factors |
相关文献
- Research on Artificial-Intelligence for Data Integration with State Highway
- TrainMate Robotic System: Making Public Transportation, Public
- Leveraging Artificial Intelligence on Things for Real-time Safety Notifications in High-Risk Regions of Collision
- Cooperative Perception of Road-Side Unit and Onboard Equipment with Edge Artificial Intelligence for Driving Assistance
- Bridge monitoring through a hybrid approach leveraging a modal updating technique and an artificial intelligence (AI) method
- Real-Time Pedestrian Detection System
检索历史
应用推荐
