Development of sleepiness in professional truck drivers: Real‐road testing for driver drowsiness and attention warning (DDAW) system evaluation

Author:

Ahlström Christer12ORCID,Anund Anna13ORCID

Affiliation:

1. Swedish National Road and Transport Research Institute Linköping Sweden

2. Department of Biomedical Engineering Linköping University Linköping Sweden

3. Rehabilitation Medicine Linköping University Linköping Sweden

Abstract

SummaryAll new vehicle types within the European Union must now be equipped with a driver drowsiness and attention warning system starting from 2022. The specific requirements for the test procedure necessary for type approval are defined in the Annex of EU Regulation C/2021/2639. The objectives of this study were to: (i) investigate how sleepiness develops in professional truck drivers under real‐road driving conditions; and (ii) assess the feasibility of a test procedure for validating driver drowsiness and attention warning systems according to the EU regulation. Twenty‐four professional truck drivers participated in the test. They drove for 180 km on a dual‐lane motorway, first during daytime after a normal night's sleep and then at nighttime after being awake since early morning. The results showed higher sleepiness levels during nighttime driving compared with daytime, with a faster increase in sleepiness with distance driven, especially during the night. Psychomotor vigilance task results corroborated these findings. From a driver drowsiness and attention warning testing perspective, the study design with sleep‐deprived drivers at night was successful in inducing the targeted sleepiness level of a Karolinska Sleepiness Scale score of ≥ 8. Many drivers who reported a Karolinska Sleepiness Scale ≥ 8 during the drives also acknowledged feeling sleepy in the post‐drive questionnaire. Reaching high levels of sleepiness on real roads during daytime is more problematic, not the least from legal and ethical perspectives as higher traffic densities during the daytime lead to increased risks.

Publisher

Wiley

Reference52 articles.

1. Truck driver fatigue risk assessment and management: a multinational survey

2. ECG beat detection using filter banks

3. Ahlström C. Andersson J. Anund A. Börjesson E. Johansson H. &Johnsson J.(2010).Detecting sleepiness by Optalert: Final report.https://urn.kb.se/resolve?urn=urn:nbn:se:vti:diva-5188

4. Video-based observer rated sleepiness versus self-reported subjective sleepiness in real road driving

5. Effects of partially automated driving on the development of driver sleepiness

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3