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Evaluation Method of the Driving Workload in the Horizontal Curve Section Based on the Human Model of Information Processing

The aim of this study was to quantify the effect of radius over horizontal curve sections on driving workload (DW). Twenty-five participants participated in the driving simulation experiments and completed five driving scenes. The NASA-TLX scale was used to measure the mental demand, physical demand...

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Autores principales: Liu, Huan, Xu, Jinliang, Zhang, Xiaodong, Gao, Chao, Sun, Rishuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222676/
https://www.ncbi.nlm.nih.gov/pubmed/35742312
http://dx.doi.org/10.3390/ijerph19127063
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author Liu, Huan
Xu, Jinliang
Zhang, Xiaodong
Gao, Chao
Sun, Rishuang
author_facet Liu, Huan
Xu, Jinliang
Zhang, Xiaodong
Gao, Chao
Sun, Rishuang
author_sort Liu, Huan
collection PubMed
description The aim of this study was to quantify the effect of radius over horizontal curve sections on driving workload (DW). Twenty-five participants participated in the driving simulation experiments and completed five driving scenes. The NASA-TLX scale was used to measure the mental demand, physical demand, and temporal demand in various scenes, which were applied to assess subjective workload (SW). Objective workload (OW) assessment methods were divided into three types, in which the eye tracker was used to measure the blink frequency and pupil diameter, and the electrocardiograph (ECG) was used to measure the heart rate and the heart rate variability. Additionally, the simulator was used to measure the lateral position and the steering wheel angle. The results indicate that radius is negatively correlated with DW and SW, and the SW in a radius of 300 m is approximately twice that in a radius of 550 m. Compared with the ECG, the explanatory power of the OW can be increased to 0.974 by combining eye-movement, ECG, and driving performance. Moreover, the main source of the DW is the maneuver stage, which accounts for more than 50%. When the radius is over 550 m, the DW shows few differences in the maneuver stage. These findings may provide new avenues of research to harness the role of DWs in optimizing traffic safety.
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spelling pubmed-92226762022-06-24 Evaluation Method of the Driving Workload in the Horizontal Curve Section Based on the Human Model of Information Processing Liu, Huan Xu, Jinliang Zhang, Xiaodong Gao, Chao Sun, Rishuang Int J Environ Res Public Health Article The aim of this study was to quantify the effect of radius over horizontal curve sections on driving workload (DW). Twenty-five participants participated in the driving simulation experiments and completed five driving scenes. The NASA-TLX scale was used to measure the mental demand, physical demand, and temporal demand in various scenes, which were applied to assess subjective workload (SW). Objective workload (OW) assessment methods were divided into three types, in which the eye tracker was used to measure the blink frequency and pupil diameter, and the electrocardiograph (ECG) was used to measure the heart rate and the heart rate variability. Additionally, the simulator was used to measure the lateral position and the steering wheel angle. The results indicate that radius is negatively correlated with DW and SW, and the SW in a radius of 300 m is approximately twice that in a radius of 550 m. Compared with the ECG, the explanatory power of the OW can be increased to 0.974 by combining eye-movement, ECG, and driving performance. Moreover, the main source of the DW is the maneuver stage, which accounts for more than 50%. When the radius is over 550 m, the DW shows few differences in the maneuver stage. These findings may provide new avenues of research to harness the role of DWs in optimizing traffic safety. MDPI 2022-06-09 /pmc/articles/PMC9222676/ /pubmed/35742312 http://dx.doi.org/10.3390/ijerph19127063 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Huan
Xu, Jinliang
Zhang, Xiaodong
Gao, Chao
Sun, Rishuang
Evaluation Method of the Driving Workload in the Horizontal Curve Section Based on the Human Model of Information Processing
title Evaluation Method of the Driving Workload in the Horizontal Curve Section Based on the Human Model of Information Processing
title_full Evaluation Method of the Driving Workload in the Horizontal Curve Section Based on the Human Model of Information Processing
title_fullStr Evaluation Method of the Driving Workload in the Horizontal Curve Section Based on the Human Model of Information Processing
title_full_unstemmed Evaluation Method of the Driving Workload in the Horizontal Curve Section Based on the Human Model of Information Processing
title_short Evaluation Method of the Driving Workload in the Horizontal Curve Section Based on the Human Model of Information Processing
title_sort evaluation method of the driving workload in the horizontal curve section based on the human model of information processing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222676/
https://www.ncbi.nlm.nih.gov/pubmed/35742312
http://dx.doi.org/10.3390/ijerph19127063
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