Examining accident reports involving autonomous vehicles in California

PLoS One. 2017 Sep 20;12(9):e0184952. doi: 10.1371/journal.pone.0184952. eCollection 2017.

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.

MeSH terms

  • Accidents, Traffic / prevention & control*
  • Automation*
  • California
  • Humans
  • Motor Vehicles*
  • Risk Factors
  • Robotics*
  • Safety

Grants and funding

The present work was funded by the San Jose State University College of Engineering 2017 Grant for Research Professors to FMF. The work of the RiSA2S research center is also supported by the Mineta Transportation Institute (MTI) of San Jose, CA. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.