Evaluating the Operations and Safety Benefits of AI-driven Driver Information-focused Countermeasures for CAV Technologies
| 项目名称： | Evaluating the Operations and Safety Benefits of AI-driven Driver Information-focused Countermeasures for CAV Technologies |
| 摘要： | The goal of this project would be to quantify the safety benefits using a combination of conventional crash-analyses techniques and surrogate safety measures as crashes are still rare events and there may not be adequate data in the short-term. The innovation in this project comes from a combination of developing an industry-first safety-based recommendation system for crash hotspots while using traffic simulation software that interfaces with the Surrogate Safety Assessment Model (SSAM) for the Trapezium corridor to assess the operational and safety benefits of connected and autonomous vehicle (CAV) deployments. Following the simulation analyses, the project will focus on on-field measurements of queues, delays, and near-misses for the Trapezium corridor. |
| 状态： | Active |
| 资金： | 505368 |
| 资助组织： | Florida Department of Transportation |
| 项目负责人： | Ponnaluri, Raj |
| 执行机构： | University of Florida |
| 开始时间： | 20210402 |
| 预计完成日期： | 20220831 |
| 主题领域： | Data and Information Technology；Highways；Operations and Traffic Management；Safety and Human Factors；Vehicles and Equipment |
相关文献
- Developing AI-driven Safe Navigation Tool
- Advanced Crash Avoidance Technologies Program (ACAT) II - Nissan/University of Michigan Transportation Research Institute (UMTRI)
- Preventing Crashes in Mixed Traffic with Automated and Human-Driven Vehicles
- Impact of Connected and Automated Vehicles (CAVs) on Freeway Capacity
- Advanced Crash Avoidance Technologies Program (ACAT) I - Volvo-Ford-UMTRI Project
- Analyzing Various Data Sources and Evaluating Effectiveness of Providing Travel Time for Non-Freeways
检索历史
应用推荐
