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题名

An assessment of the effect of green signal countdown timers on drivers’ behavior and on road safety at intersections, based on driving simulator experiments and naturalistic observation studies

作者
通讯作者Meng,Fanyu
发表日期
2022
DOI
发表期刊
ISSN
0022-4375
EISSN
1879-1247
卷号82页码:1-12
摘要
Introduction: Motor-vehicle crashes at signalized intersections are a significant traffic safety problem. To address this problem, many Asian cities have installed signal countdown displays at signalized intersections, aiming to assist drivers to make correct decisions in response to traffic signals. Method: In this study, we assessed the short-term and long-term effects of green signal countdown timers (GSCTs) on road safety, using a combination of driving simulator experiments and naturalistic observations. Results: In our driving simulator experiments, 80 participants drove at 50 km/h in scenarios in which a car either approached a signalized intersection alone or following another car. In naturalistic observations, short-term (1-week) and long-term (1-year) intersection safety in the presence and absence of GSCTs were compared. These observations revealed that GSCTs reduced the number of red-light-running violations over the short term, but not over the long term. In fact, GSCTs appeared to lead to an overall increase in rear-end crash risk at intersections, as their presence resulted in drivers exhibiting more sudden acceleration and braking, and altered intersection-crossing speeds and patterns. Conclusions: The results suggest that GSCTs worsen safety at signalized intersections, and thus their removal should be considered.
关键词
相关链接[Scopus记录]
收录类别
SSCI ; EI
语种
英语
学校署名
通讯
资助项目
University of Hong Kong[201309176024];National Natural Science Foundation of China[71671100];
WOS研究方向
Engineering ; Public, Environmental & Occupational Health ; Social Sciences - Other Topics ; Transportation
WOS类目
Ergonomics ; Public, Environmental & Occupational Health ; Social Sciences, Interdisciplinary ; Transportation
WOS记录号
WOS:000861387700001
出版者
EI入藏号
20222112152598
EI主题词
Accident prevention ; Accidents ; Automobile simulators ; Motor transportation ; Roads and streets ; Traffic signals
EI分类号
Roads and Streets:406.2 ; Highway Traffic Control:432.4 ; Automobiles and Smaller Vehicles:662 ; Pulse Circuits:713.4 ; Accidents and Accident Prevention:914.1
ESI学科分类
SOCIAL SCIENCES, GENERAL
Scopus记录号
2-s2.0-85130472319
来源库
Scopus
引用统计
被引频次[WOS]:6
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/335519
专题前沿与交叉科学研究院
理学院_统计与数据科学系
作者单位
1.Department of Civil Engineering,The University of Hong Kong,Pokfulam Road,Hong Kong
2.Department of Geography,The University of Hong Kong,Pokfulam Road,Hong Kong
3.Guangdong - Hong Kong - Macau Joint Laboratory for Smart Cities,China
4.Department of Geospatial Informatics,College of Arts and Sciences,Troy University,Troy,United States
5.School of Traffic and Transportation Engineering,Central South University,Changsha,China
6.Department of Automation,Tsinghua University,Beijing,China
7.Academy for Advanced Interdisciplinary Studies,Southern University of Science and Technology,Shenzhen,China
8.Department of Statistics and Data Science,Southern University of Science and Technology,Shenzhen,China
通讯作者单位前沿与交叉科学研究院;  统计与数据科学系
推荐引用方式
GB/T 7714
Yan,Wei,Wong,S. C.,Loo,Becky P.Y.,等. An assessment of the effect of green signal countdown timers on drivers’ behavior and on road safety at intersections, based on driving simulator experiments and naturalistic observation studies[J]. JOURNAL OF SAFETY RESEARCH,2022,82:1-12.
APA
Yan,Wei.,Wong,S. C..,Loo,Becky P.Y..,Wu,Connor Y.H..,Huang,Helai.,...&Meng,Fanyu.(2022).An assessment of the effect of green signal countdown timers on drivers’ behavior and on road safety at intersections, based on driving simulator experiments and naturalistic observation studies.JOURNAL OF SAFETY RESEARCH,82,1-12.
MLA
Yan,Wei,et al."An assessment of the effect of green signal countdown timers on drivers’ behavior and on road safety at intersections, based on driving simulator experiments and naturalistic observation studies".JOURNAL OF SAFETY RESEARCH 82(2022):1-12.
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