Effects of Partial Sleep Deprivation on Braking Response of Drivers in Hazard Scenarios

•Initial response time delayed by 25-44% with partial sleep loss.•Drivers with habitual sleep ≤ recommended 7-8 h, are at higher risks of sleep loss impairments.•Driving experience does not compensate for sleep loss effects in unfamiliar hazard scenarios•Total braking time reduced in ‘pedestrian eve...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Accident analysis and prevention 2020-07, Vol.142, p.105545-105545, Article 105545
Hauptverfasser: Mahajan, Kirti, Velaga, Nagendra R
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 105545
container_issue
container_start_page 105545
container_title Accident analysis and prevention
container_volume 142
creator Mahajan, Kirti
Velaga, Nagendra R
description •Initial response time delayed by 25-44% with partial sleep loss.•Drivers with habitual sleep ≤ recommended 7-8 h, are at higher risks of sleep loss impairments.•Driving experience does not compensate for sleep loss effects in unfamiliar hazard scenarios•Total braking time reduced in ‘pedestrian event’ and increased in ‘vehicle merging event’. This study aimed at modeling the Response Time (RT) and Total Braking Time (TBT) of drivers under Partial Sleep Deprivation (PSD). Fifty male participants drove the driving simulator in three experimental conditions: two test sessions and a baseline. The two test sessions were conducted after one and two nights of PSD (sleep = 4.25 ± 0.5 h), respectively. Sleep reduction was recorded using a wrist-worn Actiwatch. The baseline session was conducted after full rest (7-8 h sleep/day for a week). The order of test sessions and baseline was randomized. Each test included two hazard events: 1) pedestrians crossing a road and 2) parked vehicles merging into a roadway. Karolinska Sleepiness Scale (KSS) and Sleepiness Symptoms Questionnaire (SSQ) ratings were also recorded during each drive. Four separate models using parametric accelerated failure time (AFT) with Weibull distribution were developed for RT and TBT in the two events. The models were chosen with clustered heterogeneity to account for intra-group heterogeneity due to repeated measures across tests. In the case of pedestrians crossing event, RT increased by 10% in the first test session and no significant effect observed on RT in the second test session. The overall TBT reduced by 25% and 28% during the first and second PSD sessions, respectively. In the case of vehicle merging event, both response time and total braking time delayed by 44% and 17% respectively after PSD. Other factors such as age, experience, work-rest hours, KSS and SSQ rating, often exercising, approaching speed and braking force were also found significant in the analysis. The parametric AFT approach adopted in this study showed the change in ‘response time’ and ‘total braking time’ concerning the type of hazard scenario and partial sleep-deprivation.
doi_str_mv 10.1016/j.aap.2020.105545
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2400549645</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0001457519316380</els_id><sourcerecordid>2400549645</sourcerecordid><originalsourceid>FETCH-LOGICAL-c381t-2e250c878b731a39400c900ba9c72668dfc19efa27ed085b1f2938a0e0a77cf3</originalsourceid><addsrcrecordid>eNp9kMFqGzEQhkVoiJ00D9BL0LGXdUfalaUlpzROmkAgoQnkKMbaUZGz3t1Ka0P69JWx22NgYBj4_h_mY-yLgJkAMf-2miEOMwlydytVqSM2FUbXhQSlP7EpAIiiUlpN2GlKq3xqo9UJm5SyNCDLespeb7wnNybee_6EcQzY8ueWaOALGmLY4hj6juf5HvEtdL_4T0pD3yXaBRYZoJh46Pgd_sHY8GdHHcbQp8_s2GOb6Pywz9jL7c3L9V3x8Pjj_vrqoXClEWMhSSpwRpulLgWWdQXgaoAl1k7L-dw03omaPEpNDRi1FF7WpUEgQK2dL8_Y133tEPvfG0qjXYfkqG2xo36TrMyFqqrnlcqo2KMu9ilF8jb_t8b4bgXYnU67slmn3em0e505c3Go3yzX1PxP_POXgcs9QPnHbaBokwvUOWpCzFpt04cP6v8CI5WEaQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2400549645</pqid></control><display><type>article</type><title>Effects of Partial Sleep Deprivation on Braking Response of Drivers in Hazard Scenarios</title><source>Access via ScienceDirect (Elsevier)</source><creator>Mahajan, Kirti ; Velaga, Nagendra R</creator><creatorcontrib>Mahajan, Kirti ; Velaga, Nagendra R</creatorcontrib><description>•Initial response time delayed by 25-44% with partial sleep loss.•Drivers with habitual sleep ≤ recommended 7-8 h, are at higher risks of sleep loss impairments.•Driving experience does not compensate for sleep loss effects in unfamiliar hazard scenarios•Total braking time reduced in ‘pedestrian event’ and increased in ‘vehicle merging event’. This study aimed at modeling the Response Time (RT) and Total Braking Time (TBT) of drivers under Partial Sleep Deprivation (PSD). Fifty male participants drove the driving simulator in three experimental conditions: two test sessions and a baseline. The two test sessions were conducted after one and two nights of PSD (sleep = 4.25 ± 0.5 h), respectively. Sleep reduction was recorded using a wrist-worn Actiwatch. The baseline session was conducted after full rest (7-8 h sleep/day for a week). The order of test sessions and baseline was randomized. Each test included two hazard events: 1) pedestrians crossing a road and 2) parked vehicles merging into a roadway. Karolinska Sleepiness Scale (KSS) and Sleepiness Symptoms Questionnaire (SSQ) ratings were also recorded during each drive. Four separate models using parametric accelerated failure time (AFT) with Weibull distribution were developed for RT and TBT in the two events. The models were chosen with clustered heterogeneity to account for intra-group heterogeneity due to repeated measures across tests. In the case of pedestrians crossing event, RT increased by 10% in the first test session and no significant effect observed on RT in the second test session. The overall TBT reduced by 25% and 28% during the first and second PSD sessions, respectively. In the case of vehicle merging event, both response time and total braking time delayed by 44% and 17% respectively after PSD. Other factors such as age, experience, work-rest hours, KSS and SSQ rating, often exercising, approaching speed and braking force were also found significant in the analysis. The parametric AFT approach adopted in this study showed the change in ‘response time’ and ‘total braking time’ concerning the type of hazard scenario and partial sleep-deprivation.</description><identifier>ISSN: 0001-4575</identifier><identifier>EISSN: 1879-2057</identifier><identifier>DOI: 10.1016/j.aap.2020.105545</identifier><identifier>PMID: 32380239</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Alertness ; Braking time ; Parametric accelerated failure time (AFT) model ; Response time ; Sleep-related fatigue ; Survival analysis</subject><ispartof>Accident analysis and prevention, 2020-07, Vol.142, p.105545-105545, Article 105545</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright © 2020 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c381t-2e250c878b731a39400c900ba9c72668dfc19efa27ed085b1f2938a0e0a77cf3</citedby><cites>FETCH-LOGICAL-c381t-2e250c878b731a39400c900ba9c72668dfc19efa27ed085b1f2938a0e0a77cf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.aap.2020.105545$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32380239$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mahajan, Kirti</creatorcontrib><creatorcontrib>Velaga, Nagendra R</creatorcontrib><title>Effects of Partial Sleep Deprivation on Braking Response of Drivers in Hazard Scenarios</title><title>Accident analysis and prevention</title><addtitle>Accid Anal Prev</addtitle><description>•Initial response time delayed by 25-44% with partial sleep loss.•Drivers with habitual sleep ≤ recommended 7-8 h, are at higher risks of sleep loss impairments.•Driving experience does not compensate for sleep loss effects in unfamiliar hazard scenarios•Total braking time reduced in ‘pedestrian event’ and increased in ‘vehicle merging event’. This study aimed at modeling the Response Time (RT) and Total Braking Time (TBT) of drivers under Partial Sleep Deprivation (PSD). Fifty male participants drove the driving simulator in three experimental conditions: two test sessions and a baseline. The two test sessions were conducted after one and two nights of PSD (sleep = 4.25 ± 0.5 h), respectively. Sleep reduction was recorded using a wrist-worn Actiwatch. The baseline session was conducted after full rest (7-8 h sleep/day for a week). The order of test sessions and baseline was randomized. Each test included two hazard events: 1) pedestrians crossing a road and 2) parked vehicles merging into a roadway. Karolinska Sleepiness Scale (KSS) and Sleepiness Symptoms Questionnaire (SSQ) ratings were also recorded during each drive. Four separate models using parametric accelerated failure time (AFT) with Weibull distribution were developed for RT and TBT in the two events. The models were chosen with clustered heterogeneity to account for intra-group heterogeneity due to repeated measures across tests. In the case of pedestrians crossing event, RT increased by 10% in the first test session and no significant effect observed on RT in the second test session. The overall TBT reduced by 25% and 28% during the first and second PSD sessions, respectively. In the case of vehicle merging event, both response time and total braking time delayed by 44% and 17% respectively after PSD. Other factors such as age, experience, work-rest hours, KSS and SSQ rating, often exercising, approaching speed and braking force were also found significant in the analysis. The parametric AFT approach adopted in this study showed the change in ‘response time’ and ‘total braking time’ concerning the type of hazard scenario and partial sleep-deprivation.</description><subject>Alertness</subject><subject>Braking time</subject><subject>Parametric accelerated failure time (AFT) model</subject><subject>Response time</subject><subject>Sleep-related fatigue</subject><subject>Survival analysis</subject><issn>0001-4575</issn><issn>1879-2057</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kMFqGzEQhkVoiJ00D9BL0LGXdUfalaUlpzROmkAgoQnkKMbaUZGz3t1Ka0P69JWx22NgYBj4_h_mY-yLgJkAMf-2miEOMwlydytVqSM2FUbXhQSlP7EpAIiiUlpN2GlKq3xqo9UJm5SyNCDLespeb7wnNybee_6EcQzY8ueWaOALGmLY4hj6juf5HvEtdL_4T0pD3yXaBRYZoJh46Pgd_sHY8GdHHcbQp8_s2GOb6Pywz9jL7c3L9V3x8Pjj_vrqoXClEWMhSSpwRpulLgWWdQXgaoAl1k7L-dw03omaPEpNDRi1FF7WpUEgQK2dL8_Y133tEPvfG0qjXYfkqG2xo36TrMyFqqrnlcqo2KMu9ilF8jb_t8b4bgXYnU67slmn3em0e505c3Go3yzX1PxP_POXgcs9QPnHbaBokwvUOWpCzFpt04cP6v8CI5WEaQ</recordid><startdate>20200701</startdate><enddate>20200701</enddate><creator>Mahajan, Kirti</creator><creator>Velaga, Nagendra R</creator><general>Elsevier Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20200701</creationdate><title>Effects of Partial Sleep Deprivation on Braking Response of Drivers in Hazard Scenarios</title><author>Mahajan, Kirti ; Velaga, Nagendra R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c381t-2e250c878b731a39400c900ba9c72668dfc19efa27ed085b1f2938a0e0a77cf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Alertness</topic><topic>Braking time</topic><topic>Parametric accelerated failure time (AFT) model</topic><topic>Response time</topic><topic>Sleep-related fatigue</topic><topic>Survival analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mahajan, Kirti</creatorcontrib><creatorcontrib>Velaga, Nagendra R</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Accident analysis and prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mahajan, Kirti</au><au>Velaga, Nagendra R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of Partial Sleep Deprivation on Braking Response of Drivers in Hazard Scenarios</atitle><jtitle>Accident analysis and prevention</jtitle><addtitle>Accid Anal Prev</addtitle><date>2020-07-01</date><risdate>2020</risdate><volume>142</volume><spage>105545</spage><epage>105545</epage><pages>105545-105545</pages><artnum>105545</artnum><issn>0001-4575</issn><eissn>1879-2057</eissn><abstract>•Initial response time delayed by 25-44% with partial sleep loss.•Drivers with habitual sleep ≤ recommended 7-8 h, are at higher risks of sleep loss impairments.•Driving experience does not compensate for sleep loss effects in unfamiliar hazard scenarios•Total braking time reduced in ‘pedestrian event’ and increased in ‘vehicle merging event’. This study aimed at modeling the Response Time (RT) and Total Braking Time (TBT) of drivers under Partial Sleep Deprivation (PSD). Fifty male participants drove the driving simulator in three experimental conditions: two test sessions and a baseline. The two test sessions were conducted after one and two nights of PSD (sleep = 4.25 ± 0.5 h), respectively. Sleep reduction was recorded using a wrist-worn Actiwatch. The baseline session was conducted after full rest (7-8 h sleep/day for a week). The order of test sessions and baseline was randomized. Each test included two hazard events: 1) pedestrians crossing a road and 2) parked vehicles merging into a roadway. Karolinska Sleepiness Scale (KSS) and Sleepiness Symptoms Questionnaire (SSQ) ratings were also recorded during each drive. Four separate models using parametric accelerated failure time (AFT) with Weibull distribution were developed for RT and TBT in the two events. The models were chosen with clustered heterogeneity to account for intra-group heterogeneity due to repeated measures across tests. In the case of pedestrians crossing event, RT increased by 10% in the first test session and no significant effect observed on RT in the second test session. The overall TBT reduced by 25% and 28% during the first and second PSD sessions, respectively. In the case of vehicle merging event, both response time and total braking time delayed by 44% and 17% respectively after PSD. Other factors such as age, experience, work-rest hours, KSS and SSQ rating, often exercising, approaching speed and braking force were also found significant in the analysis. The parametric AFT approach adopted in this study showed the change in ‘response time’ and ‘total braking time’ concerning the type of hazard scenario and partial sleep-deprivation.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>32380239</pmid><doi>10.1016/j.aap.2020.105545</doi><tpages>1</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0001-4575
ispartof Accident analysis and prevention, 2020-07, Vol.142, p.105545-105545, Article 105545
issn 0001-4575
1879-2057
language eng
recordid cdi_proquest_miscellaneous_2400549645
source Access via ScienceDirect (Elsevier)
subjects Alertness
Braking time
Parametric accelerated failure time (AFT) model
Response time
Sleep-related fatigue
Survival analysis
title Effects of Partial Sleep Deprivation on Braking Response of Drivers in Hazard Scenarios
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T00%3A36%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Effects%20of%20Partial%20Sleep%20Deprivation%20on%20Braking%20Response%20of%20Drivers%20in%20Hazard%20Scenarios&rft.jtitle=Accident%20analysis%20and%20prevention&rft.au=Mahajan,%20Kirti&rft.date=2020-07-01&rft.volume=142&rft.spage=105545&rft.epage=105545&rft.pages=105545-105545&rft.artnum=105545&rft.issn=0001-4575&rft.eissn=1879-2057&rft_id=info:doi/10.1016/j.aap.2020.105545&rft_dat=%3Cproquest_cross%3E2400549645%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2400549645&rft_id=info:pmid/32380239&rft_els_id=S0001457519316380&rfr_iscdi=true