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Human Performance in Critical Scenarios as a Benchmark for Highly Automated Vehicles

Quante, Laura and Zhang, Meng and Preuk, Katharina and Schießl, Caroline (2021) Human Performance in Critical Scenarios as a Benchmark for Highly Automated Vehicles. Automotive Innovation. Springer Nature. doi: 10.1007/s42154-021-00152-2. ISSN 2096-4250.

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Official URL: https://link.springer.com/content/pdf/10.1007/s42154-021-00152-2.pdf

Abstract

Before highly automated vehicles (HAVs) become part of everyday traffic, their safety has to be proven. The use of human performance as a benchmark represents a promising approach, but appropriate methods to quantify and compare human and HAV performance are rare. By adapting the method of constant stimuli, a scenario-based approach to quantify the limit of (human) performance is developed. The method is applied to a driving simulator study, in which participants are repeatedly confronted with a cut-in manoeuvre on a highway. By systematically manipulating the criticality of the manoeuvre in terms of time to collision, humans’ collision avoidance performance is measured. The limit of human performance is then identifed by means of logistic regression. The calculated regression curve and its inflection point can be used for direct comparison of human and HAV performance. Accordingly, the presented approach represents one means by which HAVs’ safety performance could be proven.

Item URL in elib:https://elib.dlr.de/135338/
Document Type:Article
Title:Human Performance in Critical Scenarios as a Benchmark for Highly Automated Vehicles
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Quante, LauraLaura.Quante (at) dlr.dehttps://orcid.org/0000-0001-7935-0393
Zhang, MengMeng.Zhang (at) dlr.deUNSPECIFIED
Preuk, KatharinaKatharina.Preuk (at) dlr.deUNSPECIFIED
Schießl, CarolineCaroline.Schiessl (at) dlr.deUNSPECIFIED
Date:19 July 2021
Journal or Publication Title:Automotive Innovation
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1007/s42154-021-00152-2
Publisher:Springer Nature
ISSN:2096-4250
Status:Published
Keywords:highly automated vehicles, automated driving, proof of safety, human performance, driving performance
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Energie und Verkehr
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Information Gathering and Modelling, BS
Institute of Transportation Systems > Information Flow Modelling in Mobility Systems, BS
Deposited By: Quante, Laura
Deposited On:12 Aug 2021 17:35
Last Modified:19 Nov 2021 20:41

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