Crash and disengagement data of autonomous vehicles on public roads in California

Amolika Sinha; Sai Chand; Vincent Vu; Huang Chen; Vinayak Dixit

doi:10.1038/s41597-021-01083-7

Crash and disengagement data of autonomous vehicles on public roads in California

Sci Data. 2021 Nov 23;8(1):298. doi: 10.1038/s41597-021-01083-7.

Authors

Amolika Sinha¹, Sai Chand², Vincent Vu¹, Huang Chen¹, Vinayak Dixit^{1

3}

Affiliations

¹ Research Centre for Integrated Transport Innovation, School of Civil & Environmental Engineering, The University of New South Wales, Sydney, Australia.
² Research Centre for Integrated Transport Innovation, School of Civil & Environmental Engineering, The University of New South Wales, Sydney, Australia. saichand.transport@gmail.com.
³ IAG Chair of Risk in Smart Cities, Sydney, Australia.

Abstract

Autonomous Vehicles (AVs) are being widely tested on public roads in several countries such as the USA, Canada, France, Germany, and Australia. For the transparent deployment of AVs in California, the California Department of Motor Vehicles (CA DMV) commissioned AV manufacturers to draft and publish reports on disengagements and crashes. These reports must be processed before any statistical analysis, which is cumbersome and time-consuming. Our dataset presents the processed disengagement data from 2014 to 2019, crash data till the 10^th of March 2020 and supplementary road network and land-use data extracted from OpenStreetMap. Primary data are manually assessed and converted into an easily processed format. Our processed data will be advantageous to the research community and enable accelerated research in this domain. For example, the data can be utilised to discern trends in disengagement, observe the distribution of disengagement causes, and investigate the contributory factors of the crashes. Such investigations can subsequently improve the reporting protocols and make policies and laws for the smooth deployment of this disruptive technology.

Publication types

Research Support, Non-U.S. Gov't