Traffic Queue Prediction (TQP) & Warning System
| 项目名称： | Traffic Queue Prediction (TQP) & Warning System |
| 摘要： | To save lives, reduce secondary crashes, and in general protect the end of the queue and the motorists approaching the end of queue at a high speed, TDOT has successfully deployed HELP trucks to alert, advise, and, for some cases, actively control the approaching traffic. A challenge though is to have a better handle of the queue, once formed, in terms of where the end of the queue is and how fast it might grow and move. As such, this study proposes to develop a dynamic queue prediction model that utilizes real-time traffic data to estimate the behavior of the queue and the locus of the end of the queue. By studying different cases with comprehensive data and incident logs and video footages, the UT research team will develop a model capable of taking in real-time data to predict the end of queue location and movement dynamically. The proposed study will also assess quick information dissemination means for warning motorists approaching the vicinity of the end of the queue. Another focus of the study will look at the location and setup of the HELP truck upstream of the end of the queue. |
| 状态： | Active |
| 资金： | 40,409.00 |
| 资助组织： | Federal Highway Administration |
| 管理组织： | Tennessee Department of Transportation |
| 项目负责人： | Oldham, Jason |
| 执行机构： | University of Tennessee, Knoxville |
| 主要研究人员： | Han, Lee David |
| 开始时间： | 20151001 |
| 预计完成日期： | 20190630 |
| 实际结束时间： | 0 |
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