Engström, J, Markkula, G orcid.org/0000-0003-0244-1582, Xue, Q et al. (1 more author) (2018) Simulating the effect of cognitive load on braking responses in lead vehicle braking scenarios. IET Intelligent Transport Systems, 12 (6). pp. 427-433. ISSN 1751-956X
Abstract
The recently proposed cognitive control hypothesis suggests that the performance of cognitively loading but non-visual tasks such as cell phone conversation selectively impairs driving tasks that rely on top-down cognitive control while leaving automatized driving tasks unaffected. This idea is strongly supported by the existing experimental literature and we have previously outlined a conceptual model to account for the key underlying mechanisms. The present paper presents a mechanistically explicit account of the cognitive control hypothesis in terms of a computational simulation model. More specifically, it is shown how this model offers a straightforward explanation for why the effect of cognitive load on brake response time reported in experimental lead vehicle braking studies depends strongly on scenario kinematics, more specifically the initial time headway. It is demonstrated that this relatively simple model can be fitted to empirical data obtained from an existing meta-analysis on existing lead vehicle braking studies
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | (c) Institution of Engineering and Technology. This paper is a postprint of a paper submitted to and accepted for publication in IET Intelligent Transport Systems and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library. |
Keywords: | braking, cognition, human factors, vehicles |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/J002933/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Mar 2018 16:07 |
Last Modified: | 20 Jul 2018 11:52 |
Status: | Published |
Publisher: | Institute of Engineering and Technology |
Identification Number: | 10.1049/iet-its.2017.0233 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:128716 |