Research on the classification for road traffic visibility based on the characteristics of driving behaviour – a driving simulator experiment
Purpose – The purpose of this paper is to perform fine classification of road traffic visibility based on the characteristics of driving behavior under different visibility conditions. Design/methodology/approach – A driving simulator experiment was conducted to collect data of speed and lane positi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2020-04-01
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| Series: | Journal of Intelligent and Connected Vehicles |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/JICV-10-2019-0011/full/pdf?title=research-on-the-classification-for-road-traffic-visibility-based-on-the-characteristics-of-driving-behaviour-a-driving-simulator-experiment |
| _version_ | 1797334408897757184 |
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| author | Kun Wang Weihua Zhang Zhongxiang Feng Cheng Wang |
| author_facet | Kun Wang Weihua Zhang Zhongxiang Feng Cheng Wang |
| author_sort | Kun Wang |
| collection | DOAJ |
| description | Purpose – The purpose of this paper is to perform fine classification of road traffic visibility based on the characteristics of driving behavior under different visibility conditions. Design/methodology/approach – A driving simulator experiment was conducted to collect data of speed and lane position. ANOVA was used to explore the difference in driving behavior under different visibility conditions. Findings – The results show that only average speed is significantly different under different visibility conditions. With the visibility reducing, the average vehicle speed decreases. The road visibility conditions in a straight segment can be divided into five levels: less than 20, 20-30, 35-60, 60-140 and more than 140 m. The road visibility conditions in a curve segment can be also divided into four levels: less than 20, 20-30, 35-60 and more than 60 m. Originality/value – A fine classification of road traffic visibility has been performed, and these classifications help to establish more accurate control measures to ensure road traffic safety under low-visibility conditions. |
| first_indexed | 2024-03-08T08:20:18Z |
| format | Article |
| id | doaj.art-5c5676698fd94a77a669f0f780b07a82 |
| institution | Directory Open Access Journal |
| issn | 2399-9802 |
| language | English |
| last_indexed | 2024-03-08T08:20:18Z |
| publishDate | 2020-04-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Journal of Intelligent and Connected Vehicles |
| spelling | doaj.art-5c5676698fd94a77a669f0f780b07a822024-02-02T06:03:43ZengTsinghua University PressJournal of Intelligent and Connected Vehicles2399-98022020-04-0131303610.1108/JICV-10-2019-0011641788Research on the classification for road traffic visibility based on the characteristics of driving behaviour – a driving simulator experimentKun Wang0Weihua Zhang1Zhongxiang Feng2Cheng Wang3College of Civil Engineering, Hefei University of Technology, Hefei, ChinaSchool of Automobile and Traffic Engineering, Hefei University of Technology, Hefei, ChinaSchool of Automobile and Traffic Engineering, Hefei University of Technology, Hefei, ChinaCollege of Civil Engineering, Hefei University of Technology, Hefei, ChinaPurpose – The purpose of this paper is to perform fine classification of road traffic visibility based on the characteristics of driving behavior under different visibility conditions. Design/methodology/approach – A driving simulator experiment was conducted to collect data of speed and lane position. ANOVA was used to explore the difference in driving behavior under different visibility conditions. Findings – The results show that only average speed is significantly different under different visibility conditions. With the visibility reducing, the average vehicle speed decreases. The road visibility conditions in a straight segment can be divided into five levels: less than 20, 20-30, 35-60, 60-140 and more than 140 m. The road visibility conditions in a curve segment can be also divided into four levels: less than 20, 20-30, 35-60 and more than 60 m. Originality/value – A fine classification of road traffic visibility has been performed, and these classifications help to establish more accurate control measures to ensure road traffic safety under low-visibility conditions.https://www.emerald.com/insight/content/doi/10.1108/JICV-10-2019-0011/full/pdf?title=research-on-the-classification-for-road-traffic-visibility-based-on-the-characteristics-of-driving-behaviour-a-driving-simulator-experimentspeeddriving simulator experimentlane positionlow visibilitytraffic safety |
| spellingShingle | Kun Wang Weihua Zhang Zhongxiang Feng Cheng Wang Research on the classification for road traffic visibility based on the characteristics of driving behaviour – a driving simulator experiment Journal of Intelligent and Connected Vehicles speed driving simulator experiment lane position low visibility traffic safety |
| title | Research on the classification for road traffic visibility based on the characteristics of driving behaviour – a driving simulator experiment |
| title_full | Research on the classification for road traffic visibility based on the characteristics of driving behaviour – a driving simulator experiment |
| title_fullStr | Research on the classification for road traffic visibility based on the characteristics of driving behaviour – a driving simulator experiment |
| title_full_unstemmed | Research on the classification for road traffic visibility based on the characteristics of driving behaviour – a driving simulator experiment |
| title_short | Research on the classification for road traffic visibility based on the characteristics of driving behaviour – a driving simulator experiment |
| title_sort | research on the classification for road traffic visibility based on the characteristics of driving behaviour a driving simulator experiment |
| topic | speed driving simulator experiment lane position low visibility traffic safety |
| url | https://www.emerald.com/insight/content/doi/10.1108/JICV-10-2019-0011/full/pdf?title=research-on-the-classification-for-road-traffic-visibility-based-on-the-characteristics-of-driving-behaviour-a-driving-simulator-experiment |
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