Analyzing driver drowsiness: from causes to effects

Bibliographic Details
Main Author: Sónia Soares
Publication Date: 2020
Other Authors: Tiago Monteiro, António Lobo, António Couto, Liliana Cunha, Sara Ferreira
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10216/126606
Summary: Drowsiness and fatigue are major safety issues that cannot be measured directly. Their measurements are sustained on indirect parameters such as the effects on driving performance, changes in physiological states, and subjective measures. We divided this study into two distinct lines. First, we wanted to find if any driver's physiological characteristic, habit, or recent event could interfere with the results. Second, we aimed to analyze the effects of subjective sleepiness on driving behavior. On driving simulator experiments, the driver information and driving performance were collected, and responses to the Karolinska Sleepiness Scale (KSS) were compared with these parameters. The results showed that drowsiness increases when the driver has suffered a recent stress situation, has taken medication, or has slept fewer hours. An increasing driving time is also a strong factor in drowsiness development. On the other hand, robustness, smoking habits, being older, and being a man were revealed to be factors that make the participant less prone to getting drowsy. From another point of view, the speed and lane departures increased with the sleepiness feeling. Subjective drowsiness has a great correlation to drivers' personal aspects and the driving behavior. In addition, the KSS shows a great potential to be used as a predictor of drowsiness. (c) 2020 by the authors.
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spelling Analyzing driver drowsiness: from causes to effectsEngenharia civil, Psicologia, Engenharia civil, PsicologiaCivil engineering, Psychology, Civil engineering, PsychologyDrowsiness and fatigue are major safety issues that cannot be measured directly. Their measurements are sustained on indirect parameters such as the effects on driving performance, changes in physiological states, and subjective measures. We divided this study into two distinct lines. First, we wanted to find if any driver's physiological characteristic, habit, or recent event could interfere with the results. Second, we aimed to analyze the effects of subjective sleepiness on driving behavior. On driving simulator experiments, the driver information and driving performance were collected, and responses to the Karolinska Sleepiness Scale (KSS) were compared with these parameters. The results showed that drowsiness increases when the driver has suffered a recent stress situation, has taken medication, or has slept fewer hours. An increasing driving time is also a strong factor in drowsiness development. On the other hand, robustness, smoking habits, being older, and being a man were revealed to be factors that make the participant less prone to getting drowsy. From another point of view, the speed and lane departures increased with the sleepiness feeling. Subjective drowsiness has a great correlation to drivers' personal aspects and the driving behavior. In addition, the KSS shows a great potential to be used as a predictor of drowsiness. (c) 2020 by the authors.20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/126606eng2071-105010.3390/su12051971Sónia SoaresTiago MonteiroAntónio LoboAntónio CoutoLiliana CunhaSara Ferreirainfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T19:20:18Zoai:repositorio-aberto.up.pt:10216/126606Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T23:15:07.597619Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Analyzing driver drowsiness: from causes to effects
title Analyzing driver drowsiness: from causes to effects
spellingShingle Analyzing driver drowsiness: from causes to effects
Sónia Soares
Engenharia civil, Psicologia, Engenharia civil, Psicologia
Civil engineering, Psychology, Civil engineering, Psychology
title_short Analyzing driver drowsiness: from causes to effects
title_full Analyzing driver drowsiness: from causes to effects
title_fullStr Analyzing driver drowsiness: from causes to effects
title_full_unstemmed Analyzing driver drowsiness: from causes to effects
title_sort Analyzing driver drowsiness: from causes to effects
author Sónia Soares
author_facet Sónia Soares
Tiago Monteiro
António Lobo
António Couto
Liliana Cunha
Sara Ferreira
author_role author
author2 Tiago Monteiro
António Lobo
António Couto
Liliana Cunha
Sara Ferreira
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Sónia Soares
Tiago Monteiro
António Lobo
António Couto
Liliana Cunha
Sara Ferreira
dc.subject.por.fl_str_mv Engenharia civil, Psicologia, Engenharia civil, Psicologia
Civil engineering, Psychology, Civil engineering, Psychology
topic Engenharia civil, Psicologia, Engenharia civil, Psicologia
Civil engineering, Psychology, Civil engineering, Psychology
description Drowsiness and fatigue are major safety issues that cannot be measured directly. Their measurements are sustained on indirect parameters such as the effects on driving performance, changes in physiological states, and subjective measures. We divided this study into two distinct lines. First, we wanted to find if any driver's physiological characteristic, habit, or recent event could interfere with the results. Second, we aimed to analyze the effects of subjective sleepiness on driving behavior. On driving simulator experiments, the driver information and driving performance were collected, and responses to the Karolinska Sleepiness Scale (KSS) were compared with these parameters. The results showed that drowsiness increases when the driver has suffered a recent stress situation, has taken medication, or has slept fewer hours. An increasing driving time is also a strong factor in drowsiness development. On the other hand, robustness, smoking habits, being older, and being a man were revealed to be factors that make the participant less prone to getting drowsy. From another point of view, the speed and lane departures increased with the sleepiness feeling. Subjective drowsiness has a great correlation to drivers' personal aspects and the driving behavior. In addition, the KSS shows a great potential to be used as a predictor of drowsiness. (c) 2020 by the authors.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
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dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/126606
url https://hdl.handle.net/10216/126606
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2071-1050
10.3390/su12051971
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