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The enemy of good : estimating the cost of waiting for nearly perfect automated vehicles

Author: Nidhi Kalra; David G Groves
Publisher: Santa Monica, CA : RAND, [2017]
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"How safe should highly automated vehicles (HAVs) be before they are allowed on the roads for consumer use? In this report, RAND researchers use the RAND Model of Automated Vehicle Safety to compare road fatalities over time under a policy that allows HAVs to be deployed when their safety performance is just moderately better than human drivers and a policy that waits to deploy HAVs only once their performance is  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Kalra, Nidhi.
Enemy of good.
Santa Monica, CA : RAND, [2017]
(DLC) 2017051678
(OCoLC)1010969368
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Nidhi Kalra; David G Groves
ISBN: 9781977400031 1977400035
OCLC Number: 1014450457
Description: 1 online resource
Contents: Introduction --
Definitions and prior work --
Methods --
Results and discussion --
Findings and conclusions.
Responsibility: Nidhi Kalra, David G. Groves.

Abstract:

"How safe should highly automated vehicles (HAVs) be before they are allowed on the roads for consumer use? In this report, RAND researchers use the RAND Model of Automated Vehicle Safety to compare road fatalities over time under a policy that allows HAVs to be deployed when their safety performance is just moderately better than human drivers and a policy that waits to deploy HAVs only once their performance is nearly perfect."--Provided by publisher.

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