Connected and Automated Vehicle Based Intersection Maneuver Assist Systems
(CAVIMAS) and Their Impact on Driver Behavior, Acceptance, and Safety
| 项目名称： | Connected and Automated Vehicle Based Intersection Maneuver Assist Systems (CAVIMAS) and Their Impact on Driver Behavior, Acceptance, and Safety |
| 摘要： | Forty percent of the estimated 5.8 million crashes in the US in 2008 were intersection-related, with most of these having driver-related reasons attributed as the critical reasons for the crashes. Most of these human-related reasons have the potential to be mitigated by leveraging thoughtful deployments of vehicle-to infrastructure (V2I) and vehicle-to-vehicle (V2V) safety management solutions in tandem with human factors-based interventions relating to the content and presentation of such solutions. This project proposes the design of a conceptual system - Connected and Automated Vehicle based Intersection Maneuver Assist Systems (CAVIMAS) - aimed at assisting drivers with intersection maneuvers by leveraging connected infrastructure and providing real-time guidance and warnings, and potentially even active vehicle controls. This will be undertaken in an advanced driving simulation environment, and the concept system will be evaluated via a user study to investigate drivers� interactions with such systems, including their perceptions, acceptance, and trust related behaviors. |
| 状态： | Completed |
| 资金： | 150000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Center for Connected and Automated Transportation |
| 执行机构： | University of Michigan Transportation Research Institute |
| 主要研究人员： | pradhan, Anuj |
| 开始时间： | 20170501 |
| 预计完成日期： | 20181231 |
| 实际结束时间： | 20181231 |
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