Research on catastrophe progression of driving load in mountainous road based on visual and environmental characteristics
Abstract When driving on mountain roads, the drivers bear the dynamic load from the road environment. The sudden change of driving load will produce great safety risks and even lead to traffic accidents. In order to explore the driving risk of two‐lane road in mountainous areas, it is necessary to a...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2023-01-01
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Series: | Engineering Reports |
Subjects: | |
Online Access: | https://doi.org/10.1002/eng2.12554 |
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author | Meng Yunwei Lang Wen Tangzhi Liu Jin Xu Boren Zheng Xiyan Zhang Guangyan Qing |
author_facet | Meng Yunwei Lang Wen Tangzhi Liu Jin Xu Boren Zheng Xiyan Zhang Guangyan Qing |
author_sort | Meng Yunwei |
collection | DOAJ |
description | Abstract When driving on mountain roads, the drivers bear the dynamic load from the road environment. The sudden change of driving load will produce great safety risks and even lead to traffic accidents. In order to explore the driving risk of two‐lane road in mountainous areas, it is necessary to analyze the change of driving load from a quantitative point of view. Using the road driving experiment, 10 male drivers were selected according to the experimental road conditions, collect the driver's visual and heart rate indicators, analyze the driver's physiological indicators, and study the driver's driving load evolution process on the mountain road. Combined with the classification of road environment, a driving load evaluation model based on catastrophe progression method is constructed. The driving load is divided into four states: low load state, affordable state, chaotic state and high load state. It is found that most sections of mountain roads are in a low load and bearable state. In semi closed and closed environment, the driving load is in a chaotic state, which affects the driving safety. The evaluation model can be used to evaluate the traffic safety of road environment. |
first_indexed | 2024-04-11T01:59:52Z |
format | Article |
id | doaj.art-a98c2f2a66654a739af0bcc16128db6f |
institution | Directory Open Access Journal |
issn | 2577-8196 |
language | English |
last_indexed | 2024-04-11T01:59:52Z |
publishDate | 2023-01-01 |
publisher | Wiley |
record_format | Article |
series | Engineering Reports |
spelling | doaj.art-a98c2f2a66654a739af0bcc16128db6f2023-01-03T04:21:39ZengWileyEngineering Reports2577-81962023-01-0151n/an/a10.1002/eng2.12554Research on catastrophe progression of driving load in mountainous road based on visual and environmental characteristicsMeng Yunwei0Lang Wen1Tangzhi Liu2Jin Xu3Boren Zheng4Xiyan Zhang5Guangyan Qing6College of Traffic and Transportaion Chongqing Jiaotong University Chongqing ChinaCollege of Traffic and Transportaion Chongqing Jiaotong University Chongqing ChinaCollege of Traffic and Transportaion Chongqing Jiaotong University Chongqing ChinaCollege of Traffic and Transportaion Chongqing Jiaotong University Chongqing ChinaSchool of Information Science and Engineering Chongqing Jiaotong University Chongqing ChinaTransportation Bureau of Xishan District Kunming ChinaChina Merchants Roadway Information Technology(Chongqing) Co., Ltd Chongqing ChinaAbstract When driving on mountain roads, the drivers bear the dynamic load from the road environment. The sudden change of driving load will produce great safety risks and even lead to traffic accidents. In order to explore the driving risk of two‐lane road in mountainous areas, it is necessary to analyze the change of driving load from a quantitative point of view. Using the road driving experiment, 10 male drivers were selected according to the experimental road conditions, collect the driver's visual and heart rate indicators, analyze the driver's physiological indicators, and study the driver's driving load evolution process on the mountain road. Combined with the classification of road environment, a driving load evaluation model based on catastrophe progression method is constructed. The driving load is divided into four states: low load state, affordable state, chaotic state and high load state. It is found that most sections of mountain roads are in a low load and bearable state. In semi closed and closed environment, the driving load is in a chaotic state, which affects the driving safety. The evaluation model can be used to evaluate the traffic safety of road environment.https://doi.org/10.1002/eng2.12554catastrophe progression methodclassification of statusclassification of road environmentclosed road environment typedriving loaddriving load |
spellingShingle | Meng Yunwei Lang Wen Tangzhi Liu Jin Xu Boren Zheng Xiyan Zhang Guangyan Qing Research on catastrophe progression of driving load in mountainous road based on visual and environmental characteristics Engineering Reports catastrophe progression method classification of status classification of road environment closed road environment type driving load driving load |
title | Research on catastrophe progression of driving load in mountainous road based on visual and environmental characteristics |
title_full | Research on catastrophe progression of driving load in mountainous road based on visual and environmental characteristics |
title_fullStr | Research on catastrophe progression of driving load in mountainous road based on visual and environmental characteristics |
title_full_unstemmed | Research on catastrophe progression of driving load in mountainous road based on visual and environmental characteristics |
title_short | Research on catastrophe progression of driving load in mountainous road based on visual and environmental characteristics |
title_sort | research on catastrophe progression of driving load in mountainous road based on visual and environmental characteristics |
topic | catastrophe progression method classification of status classification of road environment closed road environment type driving load driving load |
url | https://doi.org/10.1002/eng2.12554 |
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