Lee, YM orcid.org/0000-0003-3601-4191 and Sheppard, E (2016) The effect of motion and signalling on drivers’ ability to predict intentions of other road users. Accident Analysis and Prevention, 95 (Part A). pp. 202-208. ISSN 0001-4575
Abstract
Failure in making the correct judgment about the intention of an approaching vehicle at a junction could lead to a collision. This paper investigated the impact of dynamic information on drivers' judgments about the intentions of approaching cars and motorcycles, and whether a valid or invalid signal was provided was also manipulated. Participants were presented with videoclips of vehicles approaching a junction which terminated immediately before the vehicle made any manoeuvre, or images of the final frame of each video. They were asked to judge whether or not the vehicle would turn. Drivers were better in judging the manoeuvre of approaching vehicles in dynamic than static stimuli, for both vehicle types. Drivers were better in judging the manoeuvre of cars than motorcycles for videos, but not for photographs. Drivers were also better in judging the manoeuvre of approaching vehicles when a valid signal was provided than an invalid signal, demonstrating the importance of providing a valid signal while driving. However, drivers were still somewhat successful in their judgments in most of the conditions with an invalid signal, suggesting that drivers were able to focus on other cues to intention. Finally, given that dynamic stimuli more closely reflect the demands of real-life driving there may be a need for drivers to adopt a more cautious approach while inferring a motorcyclist’s intentions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Accident Analysis and Prevention. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Car; Intention; Motion; Motorcycle; Prediction; Signalling |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Feb 2018 17:42 |
Last Modified: | 29 Mar 2018 07:21 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.aap.2016.07.011 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:126979 |