Moadab, N., Mao, Y. and Fotios, S. orcid.org/0000-0002-2410-7641 (Accepted: 2023) Improving the detection of pedestrians after dark. In: 30th Session of the CIE. 30th Session of the CIE, 15-23 Sep 2023, Ljubljana, Slovenia. CIE , pp. 82-89.
Abstract
A large proportion of the sensory input to decision making is visual, suggested being more than 80% for driving. Risks associated with driving increases in the hours of darkness due to decreased visibility, and poor detectability of vulnerable road users especially in dark clothing. Combining this with driver distraction (engagement in activities not critical for safe driving) increases the risk of a collision even further. Aids to vision (e.g., road lighting, high visibility clothing) potentially can mitigate these challenges. This paper present a laboratory experiment measuring detection of hazards while distracted and highlights the extent of which aids to vision could improve the detection of pedestrians after dark. The result suggests a reduction of 1.5 second on reaction time which could significantly offset the stopping distance when responding to an emergency.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 CIE. |
Keywords: | Pedestrian detection; conspicuity; distraction |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 860613 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 30 Nov 2023 16:28 |
Last Modified: | 30 Nov 2023 16:28 |
Status: | Published |
Publisher: | CIE |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:205718 |
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Filename: OP6 Moadab et al pedestrian detection TEMPLATE.pdf
