Research Centre for Integrated Transport Innovation, School of Civil & Environmental Engineering, The University of New South Wales, Sydney, Australia.
IAG Chair of Risk in Smart Cities, Sydney, Australia.
Sci Data. 2021 Nov 23;8(1):298. doi: 10.1038/s41597-021-01083-7.
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 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.
自动驾驶汽车（AV）正在美国、加拿大、法国、德国和澳大利亚等几个国家的公共道路上进行广泛测试。为了在加利福尼亚州透明地部署自动驾驶汽车，加利福尼亚州机动车辆部（CA DMV）委托自动驾驶汽车制造商起草并发布关于脱离和碰撞的报告。在进行任何统计分析之前，这些报告必须经过处理，这既繁琐又耗时。我们的数据集提供了 2014 年至 2019 年的已处理脱离数据、截至 2020 年 3 月 10 日的碰撞数据以及从 OpenStreetMap 提取的补充道路网络和土地使用数据。原始数据经过人工评估并转换为易于处理的格式。我们处理后的数据将有利于研究界，并能够加速该领域的研究。例如，这些数据可用于识别脱离趋势、观察脱离原因的分布以及调查事故的促成因素。这些调查随后可以改进报告协议，并为这项颠覆性技术的顺利部署制定政策和法律。
