Approach to Real-Time Commercial Vehicle Monitoring
| 项目名称： | Approach to Real-Time Commercial Vehicle Monitoring |
| 摘要： | Vehicle classification algorithms allocate vehicles to predefined classes based on selected vehicle characteristics. Such algorithms have many important applications in transportation systems analysis and policy development, including travel forecasting, goods movement studies, road design and maintenance, setting user fees, safety studies, traffic flow modeling, environmental impact analysis, traffic management and automated toll collection. This research will collect a large and unique dataset of commercial vehicle (CV) signatures using conventional inductive loops and a new wireless sensor with potential for cost-effective and widespread use. The data will be used to develop detailed and accurate vehicle classification algorithms for CVs, and will provide important insights into the strengths and limitations of a new wireless traffic sensor. |
| 状态： | Active |
| 资金： | 57349.00 |
| 资助组织： | California Department of Transportation |
| 项目负责人： | Briseno, Coco |
| 执行机构： | University of California Transportation Center (UCTC) |
| 开始时间： | 20060801 |
| 实际结束时间： | 20080731 |
| 主题领域： | Highways；Operations and Traffic Management |
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