Evidence map›Paper›PMID 34356718›Full record

ArticleBehavioral sciences (Basel, Switzerland)2021

Autonomous Vehicles and Vulnerable Road-Users-Important Considerations and Requirements Based on Crash Data from Two Countries.

Andrew Paul Morris, Narelle Haworth, Ashleigh Filtness, Daryl-Palma Asongu Nguatem, Laurie Brown, Andry Rakotonirainy, Sebastien Glaser

Open access · goldAbstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Andrew Paul MorrisTransport Safety Research Centre, Loughborough University, Loughborough LE11 3TU, UK.ORCID 0000-0001-7908-5809
Narelle HaworthCentre for Accident Research and Road Safety, Queensland University of Technology, Queensland (CARS-Q), Brisbane 4000, Australia.ORCID 0000-0003-2514-787X
Ashleigh FiltnessTransport Safety Research Centre, Loughborough University, Loughborough LE11 3TU, UK.
Daryl-Palma Asongu NguatemTransport Safety Research Centre, Loughborough University, Loughborough LE11 3TU, UK.
Laurie BrownTransport Safety Research Centre, Loughborough University, Loughborough LE11 3TU, UK.ORCID 0000-0003-3805-8294
Andry RakotonirainyCentre for Accident Research and Road Safety, Queensland University of Technology, Queensland (CARS-Q), Brisbane 4000, Australia.
Sebastien GlaserCentre for Accident Research and Road Safety, Queensland University of Technology, Queensland (CARS-Q), Brisbane 4000, Australia.ORCID 0000-0003-0658-7765
Loughborough University · GBQueensland University of Technology · AU

Funding

Research England International Investment https://re.ukri.org/funding/our-funds-overview/international-investment-initiative-i3/
6 · The paper itself

Abstract

(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.

Indexed as

connected and autonomous vehiclescrash dataroad intersectionsvulnerable road-user

Identifiers

PMID34356718
PMCPMC8300997
OpenAlexW3178994806

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.