Unfactored analysis component matrix.
<div><p>Different driving environments may lead to increased mental workload and fatigue among drivers, consequently diminishing driving safety. To investigate the impact of various factors on drivers’ driving load, this study approaches the issue from three perspectives: external weathe...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2024
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| الموضوعات: | |
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| _version_ | 1852024628944306176 |
|---|---|
| author | Hao Li (31608) |
| author2 | Heng Jiang (1414696) Jiabao Yang (1678540) |
| author2_role | author author |
| author_facet | Hao Li (31608) Heng Jiang (1414696) Jiabao Yang (1678540) |
| author_role | author |
| dc.creator.none.fl_str_mv | Hao Li (31608) Heng Jiang (1414696) Jiabao Yang (1678540) |
| dc.date.none.fl_str_mv | 2024-12-06T18:26:45Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0315180.t011 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Unfactored_analysis_component_matrix_/27982679 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Ecology Science Policy Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified provincial highway s208 external weather environment vehicle driving environment four visual indicators driver distraction decreases mountainous road section increased mental workload fatigue among drivers drivers &# 8217 various factor combinations road driving environment driving workload indicate driving sub driving load visual characteristics factor analysis driver experiences various factors xianning city traffic flow three perspectives study approaches saccade velocity saccade angle pupil area plant spacing night based mountain area minimum level influence exerted fixation duration experimental modeling evaluation results depth exploration comprehensive examination chongyang county 6 meters |
| dc.title.none.fl_str_mv | Unfactored analysis component matrix. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <div><p>Different driving environments may lead to increased mental workload and fatigue among drivers, consequently diminishing driving safety. To investigate the impact of various factors on drivers’ driving load, this study approaches the issue from three perspectives: external weather environment, road driving environment, and in-vehicle driving environment. Through the experimental modeling of the mountainous road section of Provincial Highway S208 in Chongyang County, Xianning City, and employing simulated driving experiments, various factor combinations were designed to investigate the visual characteristics of drivers. Through factor analysis, a comprehensive examination is conducted on four visual indicators: the rate of change in pupil area, fixation duration, saccade velocity, and saccade angle, to explore the patterns of influence exerted by these factors on the driving load of drivers. The evaluation results of driving workload indicate that the degree of driver distraction decreases when the plant spacing is set at 6 meters and the type of road traffic auxiliary facilities is configured to two. When the traffic flow on the road is zero and no driving sub-mission are present, the driver experiences the minimum level of workload. The findings of this study provide robust theoretical support for nighttime mountain driving safety, contributing to the in-depth exploration of traffic safety theories.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_0e33593fb1cd48bbfbb2d2ae66355c97 |
| identifier_str_mv | 10.1371/journal.pone.0315180.t011 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27982679 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Unfactored analysis component matrix.Hao Li (31608)Heng Jiang (1414696)Jiabao Yang (1678540)EcologyScience PolicySpace ScienceEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedprovincial highway s208external weather environmentvehicle driving environmentfour visual indicatorsdriver distraction decreasesmountainous road sectionincreased mental workloadfatigue among driversdrivers &# 8217various factor combinationsroad driving environmentdriving workload indicatedriving subdriving loadvisual characteristicsfactor analysisdriver experiencesvarious factorsxianning citytraffic flowthree perspectivesstudy approachessaccade velocitysaccade anglepupil areaplant spacingnight basedmountain areaminimum levelinfluence exertedfixation durationexperimental modelingevaluation resultsdepth explorationcomprehensive examinationchongyang county6 meters<div><p>Different driving environments may lead to increased mental workload and fatigue among drivers, consequently diminishing driving safety. To investigate the impact of various factors on drivers’ driving load, this study approaches the issue from three perspectives: external weather environment, road driving environment, and in-vehicle driving environment. Through the experimental modeling of the mountainous road section of Provincial Highway S208 in Chongyang County, Xianning City, and employing simulated driving experiments, various factor combinations were designed to investigate the visual characteristics of drivers. Through factor analysis, a comprehensive examination is conducted on four visual indicators: the rate of change in pupil area, fixation duration, saccade velocity, and saccade angle, to explore the patterns of influence exerted by these factors on the driving load of drivers. The evaluation results of driving workload indicate that the degree of driver distraction decreases when the plant spacing is set at 6 meters and the type of road traffic auxiliary facilities is configured to two. When the traffic flow on the road is zero and no driving sub-mission are present, the driver experiences the minimum level of workload. The findings of this study provide robust theoretical support for nighttime mountain driving safety, contributing to the in-depth exploration of traffic safety theories.</p></div>2024-12-06T18:26:45ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0315180.t011https://figshare.com/articles/dataset/Unfactored_analysis_component_matrix_/27982679CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/279826792024-12-06T18:26:45Z |
| spellingShingle | Unfactored analysis component matrix. Hao Li (31608) Ecology Science Policy Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified provincial highway s208 external weather environment vehicle driving environment four visual indicators driver distraction decreases mountainous road section increased mental workload fatigue among drivers drivers &# 8217 various factor combinations road driving environment driving workload indicate driving sub driving load visual characteristics factor analysis driver experiences various factors xianning city traffic flow three perspectives study approaches saccade velocity saccade angle pupil area plant spacing night based mountain area minimum level influence exerted fixation duration experimental modeling evaluation results depth exploration comprehensive examination chongyang county 6 meters |
| status_str | publishedVersion |
| title | Unfactored analysis component matrix. |
| title_full | Unfactored analysis component matrix. |
| title_fullStr | Unfactored analysis component matrix. |
| title_full_unstemmed | Unfactored analysis component matrix. |
| title_short | Unfactored analysis component matrix. |
| title_sort | Unfactored analysis component matrix. |
| topic | Ecology Science Policy Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified provincial highway s208 external weather environment vehicle driving environment four visual indicators driver distraction decreases mountainous road section increased mental workload fatigue among drivers drivers &# 8217 various factor combinations road driving environment driving workload indicate driving sub driving load visual characteristics factor analysis driver experiences various factors xianning city traffic flow three perspectives study approaches saccade velocity saccade angle pupil area plant spacing night based mountain area minimum level influence exerted fixation duration experimental modeling evaluation results depth exploration comprehensive examination chongyang county 6 meters |