System Monitoring of Auto Traffic
| 项目名称： | System Monitoring of Auto Traffic |
| 摘要： | No matter where they form and why, queues are impactful to traffic, causing delay and increased accident potential. The overall goal of this effort is to explore methodologies for automatically detecting the development of queues in a street network. Additional objectives would be to determine the spread of the queue, the rate of spread, and identify their impact area. By automatically determining these parameters from real-time information, the next step of predictive management (not taken in this project) could be analyzed to proactively employ real-time strategies to minimize queue formation, spread, and impact. While any real-time analytics approach faces significant challenges, new research in big-data monitoring, assessment, and analysis techniques provide the premise for finding a practical real-time solution. |
| 状态： | Active |
| 资金： | 162667 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Li, Xiaopeng |
| 执行机构： | Texas A&M Transportation Institute (TTI)<==>University of California Berkeley |
| 开始时间： | 20200901 |
| 预计完成日期： | 20211031 |
| 主题领域： | Highways；Operations and Traffic Management |
相关文献
- Reconstructing Fundamental Diagrams of Heterogeneous Traffic from Trajectory Data
- Supply-Side Management of Auto Traffic
- Cost-Effective System for Rural Roadway Traffic, Surface Conditions and Weather Conditions Monitoring
- National Traffic Sensor System Evaluation Program
- A Vision-based Traffic Monitoring System for Vehicle Detection and Vehicle Classification
- Demand-Side Management of Auto Traffic
检索历史
应用推荐
