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Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art

Westhofen, Lukas and Neurohr, Christian and Koopmann, Tjark and Butz, Martin and Schütt, Barbara and Utesch, Fabian and Neurohr, Birte and Gutenkunst, Christian and Böde, Eckard (2022) Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art. Archives of Computational Methods in Engineering, pp. 1886-1784. Springer Nature. doi: 10.1007/s11831-022-09788-7. ISSN 1134-3060.

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Official URL: https://dx.doi.org/10.1007/s11831-022-09788-7

Abstract

The large-scale deployment of automated vehicles on public roads has the potential to vastly change the transportation modalities of today's society. Although this pursuit has been initiated decades ago, there still exist open challenges in reliably ensuring that such vehicles operate safely in open contexts. While functional safety is a well-established concept, the question of measuring the behavioral safety of a vehicle remains subject to research. One way to both objectively and computationally analyze traffic conflicts is the development and utilization of so-called criticality metrics. Contemporary approaches have leveraged the potential of criticality metrics in various applications related to automated driving, e.g. for computationally assessing the dynamic risk or filtering large data sets to build scenario catalogs. As a prerequisite to systematically choose adequate criticality metrics for such applications, we extensively review the state of the art of criticality metrics, their properties, and their applications in the context of automated driving. Based on this review, we propose a suitability analysis as a methodical tool to be used by practitioners. Both the proposed method and the state of the art review can then be harnessed to select well-suited measurement tools that cover an application's requirements, as demonstrated by an exemplary execution of the analysis. Ultimately, efficient, valid, and reliable measurements of an automated vehicle's safety performance are a key requirement for demonstrating its trustworthiness.

Item URL in elib:https://elib.dlr.de/187762/
Document Type:Article
Title:Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Westhofen, LukasInstitute of Systems Engineering for Future Mobility, German Aerospace Center (DLR) e.V., Oldenburg, Germanyhttps://orcid.org/0000-0003-1065-4182UNSPECIFIED
Neurohr, ChristianInstitute of Systems Engineering for Future Mobility, German Aerospace Center (DLR) e.V., Oldenburg, GermanyUNSPECIFIEDUNSPECIFIED
Koopmann, TjarkInstitute of Systems Engineering for Future Mobility, German Aerospace Center (DLR) e.V., Oldenburg, GermanyUNSPECIFIEDUNSPECIFIED
Butz, MartinRobert Bosch GmbH, Renningen, GermanyUNSPECIFIEDUNSPECIFIED
Schütt, BarbaraFZI Research Center for Information Technology, Berlin, GermanyUNSPECIFIEDUNSPECIFIED
Utesch, FabianInstitute of Transportation Systems, German Aerospace Center (DLR) e.V., Oldenburg, GermanyUNSPECIFIEDUNSPECIFIED
Neurohr, BirteInstitute of Systems Engineering for Future Mobility, German Aerospace Center (DLR) e.V., Oldenburg, GermanyUNSPECIFIEDUNSPECIFIED
Gutenkunst, ChristianAVL Deutschland GmbH, Karlsruhe, GermanyUNSPECIFIEDUNSPECIFIED
Böde, EckardInstitute of Systems Engineering for Future Mobility, German Aerospace Center (DLR) e.V., Oldenburg, GermanyUNSPECIFIEDUNSPECIFIED
Date:1 August 2022
Journal or Publication Title:Archives of Computational Methods in Engineering
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1007/s11831-022-09788-7
Page Range:pp. 1886-1784
Publisher:Springer Nature
ISSN:1134-3060
Status:Published
Keywords:Criticality Metrics, Review, Safety, Automated Driving
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:other
DLR - Research area:Transport
DLR - Program:V - no assignment
DLR - Research theme (Project):V - no assignment
Location: Oldenburg
Institutes and Institutions:Institute of Systems Engineering for Future Mobility > Systems Theory and Design
Deposited By: Westhofen, M.Sc. Lukas
Deposited On:15 Aug 2022 09:25
Last Modified:28 Jun 2023 13:03

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