Atlas Analysis of the Impact of the Interval Changes in Yellow Light Signals on Driving Behavior
The interval changes in yellow light signals significantly impact driving behaviors that affect traffic safety. This study aims to compare the applicability of different interval changes in yellow light signals from the perspectives of drivers. Data acquisition was conducted in a naturalistic drivin...
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doaj-16c3168b124e4c75a2c13c40177488562021-03-31T01:24:48ZengIEEEIEEE Access2169-35362021-01-019463394634710.1109/ACCESS.2021.30671679381260Atlas Analysis of the Impact of the Interval Changes in Yellow Light Signals on Driving BehaviorHaoran Zheng0https://orcid.org/0000-0002-3612-7500Yaqin Qin1Zhigang Du2School of Transportation, Wuhan University of Technology, Wuhan, ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Kunming, ChinaSchool of Transportation, Wuhan University of Technology, Wuhan, ChinaThe interval changes in yellow light signals significantly impact driving behaviors that affect traffic safety. This study aims to compare the applicability of different interval changes in yellow light signals from the perspectives of drivers. Data acquisition was conducted in a naturalistic driving experiment with equipment including V-BOX, Ergo LAB, and I-View HED4 to acquire vehicle running index data, driver physiological and psychological index data, and eye movement index data, respectively. Twenty experienced drivers were recruited as subjects and were categorized as safe, average, or dangerous drivers. Based on the data obtained, driving behaviors for different interval changes in yellow light signals were studied using an Atlas. Observations of the driving behavior Atlas reveal that there are notable differences in driving behaviors for different interval changes in yellow light signals. Also, it was found that dangerous drivers are more likely to be affected by the interval changes in yellow light signals. It is necessary to choose reasonable signal transition modes to improve the safety of intersections based on actual road conditions and types of drivers. The results can guide traffic management departments when choosing a reasonable transition method for yellow light signals and help formulate customized training programs for different types of drivers. In particular, the results help in providing training on driving speed and deceleration control for dangerous drivers, which will help improve traffic safety.https://ieeexplore.ieee.org/document/9381260/Driver behaviorAtlasinterval changes in yellow light signalsphysiological and psychological reactions of driverstypes of drivers |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Haoran Zheng Yaqin Qin Zhigang Du |
spellingShingle |
Haoran Zheng Yaqin Qin Zhigang Du Atlas Analysis of the Impact of the Interval Changes in Yellow Light Signals on Driving Behavior IEEE Access Driver behavior Atlas interval changes in yellow light signals physiological and psychological reactions of drivers types of drivers |
author_facet |
Haoran Zheng Yaqin Qin Zhigang Du |
author_sort |
Haoran Zheng |
title |
Atlas Analysis of the Impact of the Interval Changes in Yellow Light Signals on Driving Behavior |
title_short |
Atlas Analysis of the Impact of the Interval Changes in Yellow Light Signals on Driving Behavior |
title_full |
Atlas Analysis of the Impact of the Interval Changes in Yellow Light Signals on Driving Behavior |
title_fullStr |
Atlas Analysis of the Impact of the Interval Changes in Yellow Light Signals on Driving Behavior |
title_full_unstemmed |
Atlas Analysis of the Impact of the Interval Changes in Yellow Light Signals on Driving Behavior |
title_sort |
atlas analysis of the impact of the interval changes in yellow light signals on driving behavior |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
description |
The interval changes in yellow light signals significantly impact driving behaviors that affect traffic safety. This study aims to compare the applicability of different interval changes in yellow light signals from the perspectives of drivers. Data acquisition was conducted in a naturalistic driving experiment with equipment including V-BOX, Ergo LAB, and I-View HED4 to acquire vehicle running index data, driver physiological and psychological index data, and eye movement index data, respectively. Twenty experienced drivers were recruited as subjects and were categorized as safe, average, or dangerous drivers. Based on the data obtained, driving behaviors for different interval changes in yellow light signals were studied using an Atlas. Observations of the driving behavior Atlas reveal that there are notable differences in driving behaviors for different interval changes in yellow light signals. Also, it was found that dangerous drivers are more likely to be affected by the interval changes in yellow light signals. It is necessary to choose reasonable signal transition modes to improve the safety of intersections based on actual road conditions and types of drivers. The results can guide traffic management departments when choosing a reasonable transition method for yellow light signals and help formulate customized training programs for different types of drivers. In particular, the results help in providing training on driving speed and deceleration control for dangerous drivers, which will help improve traffic safety. |
topic |
Driver behavior Atlas interval changes in yellow light signals physiological and psychological reactions of drivers types of drivers |
url |
https://ieeexplore.ieee.org/document/9381260/ |
work_keys_str_mv |
AT haoranzheng atlasanalysisoftheimpactoftheintervalchangesinyellowlightsignalsondrivingbehavior AT yaqinqin atlasanalysisoftheimpactoftheintervalchangesinyellowlightsignalsondrivingbehavior AT zhigangdu atlasanalysisoftheimpactoftheintervalchangesinyellowlightsignalsondrivingbehavior |
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1724178682626441216 |