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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530353/ https://www.ncbi.nlm.nih.gov/pubmed/34673839 http://dx.doi.org/10.1371/journal.pone.0258892 |
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author | Minusa, Shunsuke Mizuno, Kei Ojiro, Daichi Tanaka, Takeshi Kuriyama, Hiroyuki Yamano, Emi Kuratsune, Hirohiko Watanabe, Yasuyoshi |
author_facet | Minusa, Shunsuke Mizuno, Kei Ojiro, Daichi Tanaka, Takeshi Kuriyama, Hiroyuki Yamano, Emi Kuratsune, Hirohiko Watanabe, Yasuyoshi |
author_sort | Minusa, Shunsuke |
collection | PubMed |
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 | Online Article Text |
id | pubmed-8530353 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-85303532021-10-22 Increase in rear-end collision risk by acute stress-induced fatigue in on-road truck driving Minusa, Shunsuke Mizuno, Kei Ojiro, Daichi Tanaka, Takeshi Kuriyama, Hiroyuki Yamano, Emi Kuratsune, Hirohiko Watanabe, Yasuyoshi PLoS One Research Article 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. Public Library of Science 2021-10-21 /pmc/articles/PMC8530353/ /pubmed/34673839 http://dx.doi.org/10.1371/journal.pone.0258892 Text en © 2021 Minusa et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Minusa, Shunsuke Mizuno, Kei Ojiro, Daichi Tanaka, Takeshi Kuriyama, Hiroyuki Yamano, Emi Kuratsune, Hirohiko Watanabe, Yasuyoshi Increase in rear-end collision risk by acute stress-induced fatigue in on-road truck driving |
title | 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_short | 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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530353/ https://www.ncbi.nlm.nih.gov/pubmed/34673839 http://dx.doi.org/10.1371/journal.pone.0258892 |
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