黄灯预警信号在加强驾驶员决策中的作用:文莱达鲁萨兰国比较研究

Q1 Engineering Transportation Engineering Pub Date : 2023-12-27 DOI:10.1016/j.treng.2023.100225
Shiaw Yin Yong , Noor‘Ain Md. Jamudin
{"title":"黄灯预警信号在加强驾驶员决策中的作用:文莱达鲁萨兰国比较研究","authors":"Shiaw Yin Yong ,&nbsp;Noor‘Ain Md. Jamudin","doi":"10.1016/j.treng.2023.100225","DOIUrl":null,"url":null,"abstract":"<div><p>The current study examines the impact of Advance Amber Warning Signal (AAWS) on driver behaviour and decision-making processes at two junctions on a roadway. Through on-road observations and decision tree analysis, data was collected to assess the effects of AAWS on driver responses to a yellow dilemma. The results indicated that AAWS led to a significant increase in the percentage of drivers who accelerated before stopping at the junction, while reducing uncertain changes between braking and accelerating. Moreover, AAWS resulted in improved stopping propensity, and a substantial reduction in red light violations. These findings demonstrate the positive influence of AAWS on driver behaviour, improved decision-making, and enhanced compliance with traffic regulations. The presence of AAWS equips drivers with the necessary tools to navigate challenging scenarios on the road and make safe decisions during critical moments. As a result, the implementation of AAWS has the potential to significantly enhance junction safety, optimise driver behaviour, and contribute to overall road safety measures.</p></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"15 ","pages":"Article 100225"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666691X23000647/pdfft?md5=8fa0081cf581238a8ef312906e8a9a13&pid=1-s2.0-S2666691X23000647-main.pdf","citationCount":"0","resultStr":"{\"title\":\"The role of advance amber warning signal in enhancing driver decision-making: A comparative study in Brunei Darussalam\",\"authors\":\"Shiaw Yin Yong ,&nbsp;Noor‘Ain Md. Jamudin\",\"doi\":\"10.1016/j.treng.2023.100225\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The current study examines the impact of Advance Amber Warning Signal (AAWS) on driver behaviour and decision-making processes at two junctions on a roadway. Through on-road observations and decision tree analysis, data was collected to assess the effects of AAWS on driver responses to a yellow dilemma. The results indicated that AAWS led to a significant increase in the percentage of drivers who accelerated before stopping at the junction, while reducing uncertain changes between braking and accelerating. Moreover, AAWS resulted in improved stopping propensity, and a substantial reduction in red light violations. These findings demonstrate the positive influence of AAWS on driver behaviour, improved decision-making, and enhanced compliance with traffic regulations. The presence of AAWS equips drivers with the necessary tools to navigate challenging scenarios on the road and make safe decisions during critical moments. As a result, the implementation of AAWS has the potential to significantly enhance junction safety, optimise driver behaviour, and contribute to overall road safety measures.</p></div>\",\"PeriodicalId\":34480,\"journal\":{\"name\":\"Transportation Engineering\",\"volume\":\"15 \",\"pages\":\"Article 100225\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666691X23000647/pdfft?md5=8fa0081cf581238a8ef312906e8a9a13&pid=1-s2.0-S2666691X23000647-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666691X23000647\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666691X23000647","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

摘要

本研究探讨了黄色预警信号(AAWS)对道路上两个路口的驾驶员行为和决策过程的影响。通过路面观察和决策树分析,研究人员收集了数据,以评估黄色预警信号对驾驶员应对黄色困境的影响。结果表明,AAWS 显著提高了驾驶员在路口停车前加速的比例,同时减少了制动和加速之间的不确定变化。此外,AAWS 还改善了停车倾向,大大减少了闯红灯行为。这些研究结果表明,AAWS 对驾驶员的行为、决策改进和交通法规的遵守产生了积极影响。AAWS 的存在为驾驶员提供了必要的工具,使他们能够驾驭道路上的挑战性场景,并在关键时刻做出安全决策。因此,AAWS 的实施有可能显著提高路口安全,优化驾驶员行为,并促进整体道路安全措施的实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The role of advance amber warning signal in enhancing driver decision-making: A comparative study in Brunei Darussalam

The current study examines the impact of Advance Amber Warning Signal (AAWS) on driver behaviour and decision-making processes at two junctions on a roadway. Through on-road observations and decision tree analysis, data was collected to assess the effects of AAWS on driver responses to a yellow dilemma. The results indicated that AAWS led to a significant increase in the percentage of drivers who accelerated before stopping at the junction, while reducing uncertain changes between braking and accelerating. Moreover, AAWS resulted in improved stopping propensity, and a substantial reduction in red light violations. These findings demonstrate the positive influence of AAWS on driver behaviour, improved decision-making, and enhanced compliance with traffic regulations. The presence of AAWS equips drivers with the necessary tools to navigate challenging scenarios on the road and make safe decisions during critical moments. As a result, the implementation of AAWS has the potential to significantly enhance junction safety, optimise driver behaviour, and contribute to overall road safety measures.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Transportation Engineering
Transportation Engineering Engineering-Automotive Engineering
CiteScore
8.10
自引率
0.00%
发文量
46
审稿时长
90 days
期刊最新文献
Using sensing, statistical, and numerical analysis approaches to evaluate the effect of temperature change on the resilient performance of highway pavements Effect of aging kinetics on the fatigue behavior of asphalt mixtures incorporating various RAP contents Analysis of electric vehicle charging behaviour in existing regional public and workplace charging infrastructure: A case study in the North-East UK Effect of clay materials on phase separation in plastic bag waste-modified bitumen during high-temperature storage Low-budget equipment facilitating skid coefficient extraction for traffic accident analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1