来源类型 | Research Reports
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规范类型 | 报告
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DOI | https://doi.org/10.7249/RR2662
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ISBN | 9781977401649
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来源ID | RR-2662
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| Measuring Automated Vehicle Safety: Forging a Framework |
| Laura Fraade-Blanar; Marjory S. Blumenthal; James M. Anderson; Nidhi Kalra
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发表日期 | 2018
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出版年 | 2018
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页码 | 90
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语种 | 英语
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结论 |
No standard definition of safety exists in regard to AVs- This report defines safety as the elimination, minimization, or management of harm to the public (with an emphasis on people, although it can include animals and property).
- The public and the policymaking community have an important interest in comparing AV safety with the safety of conventional vehicles, but there are limitations on the breadth and depth of comparable data collected for each type of vehicle.
This report presents a framework to discuss how safety can be measured in a technology- and company-neutral way- The framework shows measurement possible in different settings (simulation, closed courses, and public roads with and without a safety driver) at different stages (development, demonstration, and deployment).
- The methods of measuring safety must be valid, feasible, reliable, and non-manipulatable. They can be leading (i.e., proxy measures of driving behaviors correlated to safety outcomes) or lagging (i.e., actual safety outcomes involving harm).
- Clearer communication about safety between the industry and the public will be critical for public acceptance of AVs. The more consistent the communication about AV safety from industry, the more cohesive and comprehensible the message will be.
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摘要 |
- During AV development, regulators and the public should focus their concerns on the safety of the public, not on how development is progressing per se (which is the developer's concern).
- The opportunity to leverage a demonstration stage as a time for communication outside a company about safety (e.g., to policymakers or the public) should be pursued, recognizing the limits to what can be shown absent hundreds of millions or more miles driven and that there is currently no accepted, industrywide approach to demonstration because of variation among companies and the technologies they use.
- Safety events arising before the accumulation of exposure sufficient for statistically meaningful comparisons should be treated as case studies. Information from case studies can contribute to broad learning across the industry and by policymakers and the public.
- Given the potential for broader learning across industry and government, a protocol for information-sharing should be encouraged. It would have to precisely incorporate measures, format, context, frequency, governance, data security, and other factors.
- A taxonomy for common use that facilitates understanding of and communication about operational design domains is needed. A common approach to specifying where, when, and under what circumstances an AV can operate would enable, in particular, inter- and intraorganizational communication and communication with consumers and regulators. It would also facilitate tracking for a given AV of its progress through development and into deployment. Minimal-risk conditions should also be included.
- Research is needed on how to measure and communicate AV system safety in an environment wherein the system evolves through frequent updates. AV safety measures must balance reflecting the current system's safety level with recent (and perhaps non-recent) safety records.
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主题 | Autonomous Vehicles
; Passenger Traffic
; Traffic Accidents
; Transportation Safety
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URL | https://www.rand.org/pubs/research_reports/RR2662.html
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来源智库 | RAND Corporation (United States)
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引用统计 |
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资源类型 | 智库出版物
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条目标识符 | http://119.78.100.153/handle/2XGU8XDN/108863
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推荐引用方式 GB/T 7714 |
Laura Fraade-Blanar,Marjory S. Blumenthal,James M. Anderson,et al. Measuring Automated Vehicle Safety: Forging a Framework. 2018.
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