PLoS ONE· 2017Q1
Examining accident reports involving autonomous vehicles in California
- 398citations
- Q1SCImago
- 2017year
Short summary
An analysis of California accident reports (Sept 2014-Mar 2017) reveals key dynamics of autonomous vehicle collisions, including frequent impact types and contributing factors.
AI-generated from the title and abstract; the full text is not read.
Key points
- Analyzed accident reports for autonomous vehicles tested in California from September 2014 to March 2017.
- Identified frequent collision types and contributing factors in autonomous vehicle accidents.
- Explored implications for future testing and validation of semi-autonomous vehicles.
- Examined current literature and the regulatory panorama surrounding autonomous vehicle safety.
AI-generated from the title and abstract; the full text is not read.
Abstract
Autonomous Vehicle technology is quickly expanding its market and has found in Silicon Valley, California, a strong foothold for preliminary testing on public roads. In an effort to promote safety and transparency to consumers, the California Department of Motor Vehicles has mandated that reports of accidents involving autonomous vehicles be drafted and made available to the public. The present work shows an in-depth analysis of the accident reports filed by different manufacturers that are testing autonomous vehicles in California (testing data from September 2014 to March 2017). The data provides important information on autonomous vehicles accidents' dynamics, related to the most frequent types of collisions and impacts, accident frequencies, and other contributing factors. The study also explores important implications related to future testing and validation of semi-autonomous vehicles, tracing the investigation back to current literature as well as to the current regulatory panorama.
The authors' abstract, as published at the source. PLoS ONE, 2017 · DOI ↗
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Field: Safety, Risk, Reliability and Quality
Safety, Risk, Reliability and QualityEngineering