Evidence of automated vehicle safety's influence on people's acceptance of the automated driving technology.
Acceptance
Automated vehicles
Conflict severity
Safety
Traffic conflicts
Journal
Accident; analysis and prevention
ISSN: 1879-2057
Titre abrégé: Accid Anal Prev
Pays: England
ID NLM: 1254476
Informations de publication
Date de publication:
17 Nov 2023
17 Nov 2023
Historique:
received:
11
11
2022
revised:
31
01
2023
accepted:
12
11
2023
medline:
20
11
2023
pubmed:
20
11
2023
entrez:
19
11
2023
Statut:
aheadofprint
Résumé
Existing studies identified targeted audiences showing increases in Automated Vehicles (AV) acceptance after experiencing automated driving. However, there is still uncertainty regarding the reasons. Although some studies cited safety as the primary reason, there is no objective evidence from safety performance in verifying its impact on AV acceptance. This study contributes to the literature by quantitatively revealing why AV acceptance is changed after experiencing automated driving via a Structural Equation Modeling (SEM) method and objectively validating that safety is the primary factor in determining AV acceptance. Sixty drivers completed driving tasks on a driving simulator under Levels 0, 4, 3, and 2 and survey questions in between. As a result, the safety-related perceptions of AV were identified as reasons for affecting AV acceptance. Particularly, the evaluation of traffic conflicts and conflict severity validates the results from SEM, proving that safety is the primary and significant reason for influencing AV acceptance.
Identifiants
pubmed: 37980839
pii: S0001-4575(23)00428-1
doi: 10.1016/j.aap.2023.107381
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
107381Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.