Refining Inductive Loop Signature Technology for Statewide Vehicle Classification Counts
| 项目名称： | Refining Inductive Loop Signature Technology for Statewide Vehicle Classification Counts |
| 摘要： | Loop signature technology could be a huge innovation that can replace existing data collection methods for vehicle classification counts. This research will allow better understanding of loop signature performance issues such as classification accuracy and develop an enhanced pattern recognition based on MN vehicle types. |
| 状态： | Active |
| 资金： | 67,988.00 |
| 资助组织： | Minnesota Department of Transportation |
| 执行机构： | University of Minnesota |
| 开始时间： | 20200714 |
| 预计完成日期： | 20220131 |
| 主题领域： | Operations and Traffic Management |
相关文献
- Investigation of LiDAR sensing technology to Improve Freeway Traffic Monitoring
- Investigation of Truck Data Collection using LiDAR sensing technology along Rural Highways
- Less Can Be More: Locating Fewer Sensors for Monitoring Traffic
- Transportation System Performance Measurement Using Existing Loop Infrastructure (102-FH2-005) SBIR Phase II
- Testing MS Sedco INTERSECTOR Radar Detectors for Car/Bike Differentiation
- Nondestructive Evaluation of Loop Sensor Installation
检索历史
应用推荐
