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Autonomous vehicles and vulnerable road-users—important considerations and requirements based on crash data from two countries

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posted on 19.07.2021, 09:07 by Andrew MorrisAndrew Morris, Narelle Haworth, Ashleigh FiltnessAshleigh Filtness, Daryl-Palma Asongu Nguatem, Laurie BrownLaurie Brown, Andry Rakotonirainy, Sebastien Glaser
(1) Background: Passenger vehicles equipped with advanced driver-assistance system (ADAS) functionalities are becoming more prevalent within vehicle fleets. However, the full effects of offering such systems, which may allow for drivers to become less than 100% engaged with the task of driving, may have detrimental impacts on other road-users, particularly vulnerable road-users, for a variety of reasons. (2) Crash data were analysed in two countries (Great Britain and Australia) to examine some challenging traffic scenarios that are prevalent in both countries and represent scenarios in which future connected and autonomous vehicles may be challenged in terms of safe manoeuvring. (3) Road intersections are currently very common locations for vulnerable road-user accidents; traffic flows and road-user behaviours at intersections can be unpredictable, with many vehicles behaving inconsistently (e.g., red-light running and failure to stop or give way), and many vulnerable road-users taking unforeseen risks. (4) Conclusions: The challenges of unpredictable vulnerable road-user behaviour at intersections (including road-users violating traffic or safe-crossing signals, or taking other risks) combined with the lack of knowledge of CAV responses to intersection rules, could be problematic. This could be further compounded by changes to nonverbal communication that currently exist between road-users, which could become more challenging once CAVs become more widespread.

Funding

Research England, under the I3 International Investment Grant Scheme

History

School

  • Design and Creative Arts

Department

  • Design

Published in

Behavioral Sciences

Volume

11

Issue

7

Publisher

MDPI AG

Version

VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

13/07/2021

Publication date

2021-07-15

Copyright date

2021

eISSN

2076-328X

Language

en

Depositor

Miss Laurie Brown. Deposit date: 16 July 2021

Article number

101