RES2023-17: Development of an Intelligent Traffic Monitoring
System Based on Artificial Intelligence
| 项目名称： | RES2023-17: Development of an Intelligent Traffic Monitoring System Based on Artificial Intelligence |
| 摘要： | Tennessee Department of Transportation (TDOT) provides essential services to support transportation operations on Tennessee highways. Among these services is the critical incident management service, one of the Transportation Management and Operations (TSM&O) strategies that significantly impact traffic flow in Tennessee. Coordinated action between all four regions managed through the various TDOT Traffic Management Centers requires better insights and analysis of the performance and operational awareness of the interstate highways and the surrounding roadways. The major challenge with the lack of information and real-time insights is the delayed detection of incidents and the inability to manage the response successfully and on time. The question that faces the team and TDOT is the following: can we use advanced sensor fusion techniques to obtain reliable insights from a collection of heterogenous sensors and achieve similar insights that may be gathered through expensive but high-resolution camera arrays? |
| 状态： | Active |
| 资金： | 208268 |
| 资助组织： | Tennessee Department of Transportation |
| 管理组织： | Tennessee Department of Transportation |
| 执行机构： | Vanderbilt Center for Transportation Research (VECTOR) |
| 主要研究人员： | Dubey, Abhishek |
| 开始时间： | 20220801 |
| 预计完成日期： | 20240731 |
| 主题领域： | Data and Information Technology；Highways；Operations and Traffic Management |
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