Markkula, G orcid.org/0000-0003-0244-1582, Benderius, O and Wahde, M (2014) Comparing and validating models of driver steering behaviour in collision avoidance and vehicle stabilisation. Vehicle System Dynamics, 52 (12). 12. pp. 1658-1680. ISSN 0042-3114
Abstract
A number of driver models were fitted to a large data set of human truck driving, from a simulated near-crash, low-friction scenario, yielding two main insights: steering to avoid a collision was best described as an open-loop manoeuvre of predetermined duration, but with situation-adapted amplitude, and subsequent vehicle stabilisation could to a large extent be accounted for by a simple yaw rate nulling control law. These two phenomena, which could be hypothesised to generalise to passenger car driving, were found to determine the ability of four driver models adopted from the literature to fit the human data. Based on the obtained results, it is argued that the concept of internal vehicle models may be less valuable when modelling driver behaviour in non-routine situations such as near-crashes, where behaviour may be better described as direct responses to salient perceptual cues. Some methodological issues in comparing and validating driver models are also discussed.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Vehicle System Dynamics on 12 September 2014, available online: http://www.tandfonline.com/10.1080/00423114.2014.954589. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | driver models, steering, collision avoidance, low friction, driving experience, electronic stability control |
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) > ITS: Safety and Technology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Jul 2016 15:52 |
Last Modified: | 02 Feb 2018 06:12 |
Published Version: | http://dx.doi.org/10.1080/00423114.2014.954589 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/00423114.2014.954589 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:102231 |