Increase in rear-end collision risk by acute stress-induced fatigue in on-road truck driving

Increasing road crashes related to occupational drivers’ deteriorating health has become a social problem. To prevent road crashes, warnings and predictions of increased crash risk based on drivers’ conditions are important. However, in on-road driving, the relationship between drivers’ physiologica...

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Autores principales:	Shunsuke Minusa, Kei Mizuno, Daichi Ojiro, Takeshi Tanaka, Hiroyuki Kuriyama, Emi Yamano, Hirohiko Kuratsune, Yasuyoshi Watanabe
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b979dd636fe541b79a328705375f8775
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spelling	oai:doaj.org-article:b979dd636fe541b79a328705375f87752021-11-04T06:07:14ZIncrease in rear-end collision risk by acute stress-induced fatigue in on-road truck driving1932-6203https://doaj.org/article/b979dd636fe541b79a328705375f87752021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530353/?tool=EBIhttps://doaj.org/toc/1932-6203Increasing road crashes related to occupational drivers’ deteriorating health has become a social problem. To prevent road crashes, warnings and predictions of increased crash risk based on drivers’ conditions are important. However, in on-road driving, the relationship between drivers’ physiological condition and crash risk remains unclear due to difficulties in the simultaneous measurement of both. This study aimed to elucidate the relationship between drivers’ physiological condition assessed by autonomic nerve function (ANF) and an indicator of rear-end collision risk in on-road driving. Data from 20 male truck drivers (mean ± SD, 49.0±8.2 years; range, 35–63 years) were analyzed. Over a period of approximately three months, drivers’ working behavior data, such as automotive sensor data, and their ANF data were collected during their working shift. Using the gradient boosting decision tree method, a rear-end collision risk index was developed based on the working behavior data, which enabled continuous risk quantification. Using the developed risk index and drivers’ ANF data, effects of their physiological condition on risk were analyzed employing a logistic quantile regression method, which provides wider information on the effects of the explanatory variables, after hierarchical model selection. Our results revealed that in on-road driving, activation of sympathetic nerve activity and inhibition of parasympathetic nerve activity increased each quantile of the rear-end collision risk index. The findings suggest that acute stress-induced drivers’ fatigue increases rear-end collision risk. Hence, in on-road driving, drivers’ physiological condition monitoring and ANF-based stress warning and relief system can contribute to promoting the prevention of rear-end truck collisions.Shunsuke MinusaKei MizunoDaichi OjiroTakeshi TanakaHiroyuki KuriyamaEmi YamanoHirohiko KuratsuneYasuyoshi WatanabePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Shunsuke Minusa Kei Mizuno Daichi Ojiro Takeshi Tanaka Hiroyuki Kuriyama Emi Yamano Hirohiko Kuratsune Yasuyoshi Watanabe Increase in rear-end collision risk by acute stress-induced fatigue in on-road truck driving
description	Increasing road crashes related to occupational drivers’ deteriorating health has become a social problem. To prevent road crashes, warnings and predictions of increased crash risk based on drivers’ conditions are important. However, in on-road driving, the relationship between drivers’ physiological condition and crash risk remains unclear due to difficulties in the simultaneous measurement of both. This study aimed to elucidate the relationship between drivers’ physiological condition assessed by autonomic nerve function (ANF) and an indicator of rear-end collision risk in on-road driving. Data from 20 male truck drivers (mean ± SD, 49.0±8.2 years; range, 35–63 years) were analyzed. Over a period of approximately three months, drivers’ working behavior data, such as automotive sensor data, and their ANF data were collected during their working shift. Using the gradient boosting decision tree method, a rear-end collision risk index was developed based on the working behavior data, which enabled continuous risk quantification. Using the developed risk index and drivers’ ANF data, effects of their physiological condition on risk were analyzed employing a logistic quantile regression method, which provides wider information on the effects of the explanatory variables, after hierarchical model selection. Our results revealed that in on-road driving, activation of sympathetic nerve activity and inhibition of parasympathetic nerve activity increased each quantile of the rear-end collision risk index. The findings suggest that acute stress-induced drivers’ fatigue increases rear-end collision risk. Hence, in on-road driving, drivers’ physiological condition monitoring and ANF-based stress warning and relief system can contribute to promoting the prevention of rear-end truck collisions.
format	article
author	Shunsuke Minusa Kei Mizuno Daichi Ojiro Takeshi Tanaka Hiroyuki Kuriyama Emi Yamano Hirohiko Kuratsune Yasuyoshi Watanabe
author_facet	Shunsuke Minusa Kei Mizuno Daichi Ojiro Takeshi Tanaka Hiroyuki Kuriyama Emi Yamano Hirohiko Kuratsune Yasuyoshi Watanabe
author_sort	Shunsuke Minusa
title	Increase in rear-end collision risk by acute stress-induced fatigue in on-road truck driving
title_short	Increase in rear-end collision risk by acute stress-induced fatigue in on-road truck driving
title_full	Increase in rear-end collision risk by acute stress-induced fatigue in on-road truck driving
title_fullStr	Increase in rear-end collision risk by acute stress-induced fatigue in on-road truck driving
title_full_unstemmed	Increase in rear-end collision risk by acute stress-induced fatigue in on-road truck driving
title_sort	increase in rear-end collision risk by acute stress-induced fatigue in on-road truck driving
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/b979dd636fe541b79a328705375f8775
work_keys_str_mv	AT shunsukeminusa increaseinrearendcollisionriskbyacutestressinducedfatigueinonroadtruckdriving AT keimizuno increaseinrearendcollisionriskbyacutestressinducedfatigueinonroadtruckdriving AT daichiojiro increaseinrearendcollisionriskbyacutestressinducedfatigueinonroadtruckdriving AT takeshitanaka increaseinrearendcollisionriskbyacutestressinducedfatigueinonroadtruckdriving AT hiroyukikuriyama increaseinrearendcollisionriskbyacutestressinducedfatigueinonroadtruckdriving AT emiyamano increaseinrearendcollisionriskbyacutestressinducedfatigueinonroadtruckdriving AT hirohikokuratsune increaseinrearendcollisionriskbyacutestressinducedfatigueinonroadtruckdriving AT yasuyoshiwatanabe increaseinrearendcollisionriskbyacutestressinducedfatigueinonroadtruckdriving
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Increase in rear-end collision risk by acute stress-induced fatigue in on-road truck driving

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