Preventing Crashes in Mixed Traffic with Automated and Human-Driven Vehicles
| 项目名称： | Preventing Crashes in Mixed Traffic with Automated and Human-Driven Vehicles |
| 摘要： | While safety is the ultimate goal of designing connected automated vehicles (CAVs), in many instances, CAVs� decisions do not match the expectations of human drivers (e.g., 3-second stopping rules versus rolling stops performed by human drivers). Such instances can lead to crashes/near-crashes; for instance, in 18 out of 26 crashes involving CAVs in California through February 2017, a CAV was rear-ended by a human driver at an intersection. Unfortunately, the state-of-the-art in CAV safety analysis is focused on actual and simulated miles driven, which are shown to be infeasible to apply after each update (software and/or hardware). Accordingly, this project is expected to bring insight from traffic safety analysis to develop a systematic approach for CAV safety evaluation. This project will identify the factors that contribute to crashes in mixed traffic with automated and human-driven vehicles through data analysis, simulation, and field tests. Moreover, it will develop measures and guidelines to minimize the risk of such crashes. The findings of this study are expected to significantly enhance the safety of operating CAVs. |
| 状态： | Active |
| 资金： | 172648 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Safety through Disruption University Transportation Center |
| 项目负责人： | Harwood, Leslie C |
| 执行机构： | San Diego State University |
| 主要研究人员： | Talebpour, Alireza |
| 开始时间： | 20180501 |
| 预计完成日期： | 20190930 |
| 实际结束时间： | 0 |
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