Safety benefits of automated vehicles: Extended findings from accident research for development, validation and testing

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

58 Scopus citations

Abstract

In his meta-analysis, Thomas Winkle documents exemplary analyses of potential safety-enhancing vehicle systems with low degrees of automation. However, a safety prognosis of highly or fully automated vehicles depends on assumptions, as so far no series applications of such features exist. For testing methods to develop and validate safe automated vehicles with reasonable expenditure, the author recommends combining worldwide traffic accident-, weather-, vehicle operation data and traffic simulations. Based on these findings, a realistic evaluation of internationally prospective, and statistically relevant real world traffic scenarios as well as error processes and stochastic models can be analysed (in combination with virtual tests in laboratories and driving simulators) to control critical driving situations.

Original languageEnglish
Title of host publicationAutonomous Driving
Subtitle of host publicationTechnical, Legal and Social Aspects
PublisherSpringer Berlin Heidelberg
Pages335-364
Number of pages30
ISBN (Electronic)9783662488478
ISBN (Print)9783662488454
DOIs
StatePublished - 1 Jan 2016

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