Zimlon's Use of Novel & Structured Autonomous Vehicle Accident Database Shows Human Drivers Are More Error-Prone

PR Web

NEW YORK (PRWEB) December 11, 2019

Zimlon, a data-driven insurance research service, has published a new database that focuses on accidents in which Autonomous Vehicles (AVs) were involved between the years 2014 and 2019. The database, created after analyzing PDF Collision Reports, have been archived by California's Department of Motor Vehicles (DMV). Zimlon gathered the PDF data from the DMV and converted them into a structured database analysis.

HIGHLIGHTS OF THE STUDY:

Access to collision data involving an AV, which has been archived by California's Department of Motor Vehicles.
A close and detailed analysis of over 215 collision reports involving an Autonomous Vehicle (AV) in California from 2014 to 2019.
An in-depth look into different parameters that could have influenced the occurrence of a collision.
A comparison of parameters in incidents where the collision occurred due to the fault of the AV.

Brought into effect under new testing regulations, AV manufacturers are obliged to provide the department with a collision report (involving an AV) within 10 business days of the incident. Zimlon analyzed the PDF reports of 219 collisions (involving an AV) between the years 2014 and 2019. We put multiple parameters under the lens, to discern the cause of these accidents. Zimlon also looked into external factors such as weather conditions, lighting, and conditions of roads that may or may not have influenced the incidents. Each report has a description of the accident, which helped Zimlon in further assessing the cause of these accidents.

The analysis of collisions during the current year (2019) reveals that 85 out of 88 accidents involving an AV occurred due to human error. Further investigation also revealed that out of the 88 collisions, 69 of them occurred due to the fault of the second vehicle, which was not an AV. Only one incident (involving a Chevrolet Bolt operating in the autonomous mode) caused damage to property and human lives.