Analyzing Autonomous Car Crashes in California

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Abstract/Contents

Abstract: While twelve states explicitly allow autonomous vehicles (AVs) to be tested on their public roads, California still remains a pivotal location in the United States to test and study AVs. Testing is only likely to increase because in 2018 the state’s Department of Motor Vehicles changed its regulations to allow AVs to drive on public roads without humans present. This report builds on prior research to analyze the AV accident reports produced by seven companies from September 2014 through May 2018. The crashes were analyzed through six different lenses: accident frequency, speed, relative velocity, crash type, vehicular damage, and injuries. The data shows both the possible strengths and weaknesses of self-driving cars and suggests areas where improvement can be achieved, both in AV performance and transparency. Lastly, the report provides a brief analysis of the varying state laws that apply to AVs.

Type of resource	text
Date created	June 2018

Author	McLaughlin, Michael
Primary advisor	Nguyen, Dan
Degree granting institution	Stanford University, Department of Communication

Subject	self-driving cars
Subject	autonomous vehicles
Subject	California
Subject	Department of Communication and Journalism at Stanford University
Genre	Thesis

Related item	Title Accident Database
Location	https://purl.stanford.edu/jb200qw0760

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License: This work is licensed under a Creative Commons Attribution Non Commercial No Derivatives 3.0 Unported license (CC BY-NC-ND).

Preferred Citation: McLaughlin, Michael. (2018). Analyzing Autonomous Car Crashes in California. Stanford Digital Repository. Available at: https://purl.stanford.edu/jb200qw0760

Masters Theses in Journalism, Department of Communication, Stanford University

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