A Vision-based Traffic Monitoring System for Vehicle Detection and Vehicle Classification
| 项目名称： | A Vision-based Traffic Monitoring System for Vehicle Detection and Vehicle Classification |
| 摘要： | The objective if this research study is to explore and develop a stand-alone vision-based traffic monitoring software prototype with graphic user interfaces that can count vehicles (detection) and characterize the type of vehicle on roadways (classification). A robust set of methodologies and algorithms for traffic monitoring will be identified to operate effectively under a variety of conditions. The system will be validated using video feeds collected by Connecticut Department of Transporation (CTDOT) with observed traffic characteristics and demonstrate the system for Connecticut application using a case study. |
| 状态： | Active |
| 资金： | $50598.00 |
| 资助组织： | Connecticut Department of Transportation |
| 项目负责人： | Kissane, Colleen A |
| 执行机构： | University of Connecticut, Storrs |
| 开始时间： | 20140823 |
| 预计完成日期： | 20191231 |
| 主题领域： | Data and Information Technology；Highways；Operations and Traffic Management；Planning and Forecasting |
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