Fotios, S, Cheal, C, Fox, S et al. (1 more author) (2018) The effect of fog on detection of driving hazards after dark. Lighting Research and Technology, 50 (7). pp. 1024-1044. ISSN 1477-1535
Abstract
The presence of fog leads to an increase in road traffic accidents. An experiment was carried out using a scale model to investigate how the detection of hazards in peripheral vision was affected by changes in luminance (0.1 cd/m2 and 1.0 cd/m2 road surface luminance), scotopic/photopic (S/P) ratio (0.65 and 1.40) and fog density (none, thin and thick). Two hazards were used, a road surface obstacle and lane change of another vehicle. Increasing luminance, and reducing from thick to thin fog, led to significant increase in detection rate and a reduction in reaction time, for both types of hazard. The effect of a change in S/P ratio was significant only when measuring detection of the surface obstacle using reaction times, under the thick fog, with an increase in S/P ratio leading to a shorter reaction time.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Chartered Institution of Building Services Engineers 2017. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
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: | 18 Dec 2018 16:36 |
Last Modified: | 18 Dec 2018 16:36 |
Status: | Published |
Publisher: | SAGE Publications |
Identification Number: | 10.1177/1477153517725774 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140122 |