Road traffic safety assessment in self-driving vehicles based on time-to-collision with motion orientation.
Autonomous vehicles
Road safety
Smart mobility
Surrogate Safety Measures
Journal
Accident; analysis and prevention
ISSN: 1879-2057
Titre abrégé: Accid Anal Prev
Pays: England
ID NLM: 1254476
Informations de publication
Date de publication:
Oct 2023
Oct 2023
Historique:
received:
21
09
2022
revised:
27
05
2023
accepted:
10
06
2023
medline:
7
8
2023
pubmed:
6
7
2023
entrez:
5
7
2023
Statut:
ppublish
Résumé
Traffic conflict analysis based on Surrogate Safety Measures (SSMs) helps to estimate the risk level of an ego-vehicle interacting with other road users. Nonetheless, risk assessment for autonomous vehicles (AVs) is still incipient, given that most of the AVs are currently prototypes and current SSMs do not directly apply to autonomous driving styles. Therefore, to assess and quantify the potential risk arising from AV interactions with other road users, this study introduces the TTC
Identifiants
pubmed: 37406543
pii: S0001-4575(23)00219-1
doi: 10.1016/j.aap.2023.107172
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
107172Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest I declare that the authors do not have any conflicts of interest to report regarding this submission.