原文传递
Measuring Automated Vehicle Safety
| 题名： | Measuring Automated Vehicle Safety |
| 责任者： | by Laura Fraade-Blanar, Marjory S. Blumenthal, James M. Anderson, Nidhi Kalra |
| 关键词： | Autonomous Vehicles, Passenger Traffic, Traffic Accidents, Transportation Safety |
| 学科分类： | 智能交通 |
| 摘要： | This report presents a framework for measuring safety in automated vehicles (AVs) that could be used broadly by companies, policymakers, and the public. In it, the authors considered how to define safety for AVs, how to measure safety for AVs, and how to communicate what is learned or understood about AVs. Given AVs' limited total on-road exposure compared with conventional, human-driven vehicles, the authors also consider options for proxy measurements — i.e., factors that might be correlated with safety — and explore how safety measurements could be made in simulation and on closed courses. The report identifies key concepts and illuminates the kinds of measurements that might be made and communicated. It presents a structured way of thinking about how to measure safety at different stages of an AV's evolution, and it proposes a new kind of measurement. While acknowledging that the closely held nature of AV data limits the amount of data that are made public or shared between companies and with the government, the report highlights the kinds of information that could be presented in consistent ways in support of public understanding of AV safety. |
| 出版机构： | RAND |
| 报告类型： | 咨询报告 |
| 资源类型： | 科技（咨询、行业）报告 |
| 初始创建时间： | 2018 |
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