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Comparative study on e-bikes' decision-making behaviors under flashing green and green countdown

文献类型：期刊论文

作者Meng, Haoyang2; Dong, Sheng2; Zhou, Jibiao2; Zhang, Shuichao2; Li, Zhenjiang1
刊名JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
出版日期2021
卷号41期号:3页码:4407-4414
关键词Driving behavior flashing green green countdown electric bicycle stop-pass decision
ISSN号1064-1246
DOI10.3233/JIFS-189700
通讯作者Dong, Sheng(dongsheng@nbut.edu.cn) ; Zhou, Jibiao(zhoujb2014@nbut.edu.cn)
英文摘要Green flash light (FG) and green countdown (GC) are the two most common signal formats applied in green-red transition that provides drivers additional alert before termination of green phase. Due to their importance and function in stop-pass decision-making process, proper use of them has become a critical issue to greatly improve the safety and efficiency of signalized intersections. Gradually e-bike riders have become more important commuters in China, however, the influence of FG or GC on them is not clear yet and need pay more attention to it. This study chooses two almost identical intersections to obtain highly accurate trajectory data of e-bike riders to study their decision-making behaviors under FG or GC. The e-bike riders' behavior is classified into four categories and is to identify their stop-pass decision points using the acceleration trend. Two binary-logit models were built to predict the stop-pass decision behaviors for the different e-bike rider groups, explaining that the potential time to the stop-line is the dominant independent factor of the different behaviors of GC and FG. Furthermore empirical analysis of decision points indicated that GC provides the earlier stop-pass decision point and longer decision making duration on the one side while results in more complexity of decision making and greater risk of stop-line crossing than FG on the other side.
WOS关键词LIGHT ; AMBER
资助项目Natural Science Foundation of Zhejiang Province[LQ19E080008] ; Natural Science Foundation of Zhejiang Province[LY21E080010] ; Natural Science Foundation of Ningbo[2019A610044] ; Philosophy and Social Science Foundation of Zhejiang Province[21NDJC163YB] ; Philosophy and Social Science Foundation of Ningbo[G20-ZX37]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000709679300019
出版者IOS PRESS
资助机构Natural Science Foundation of Zhejiang Province ; Natural Science Foundation of Ningbo ; Philosophy and Social Science Foundation of Zhejiang Province ; Philosophy and Social Science Foundation of Ningbo
源URL[http://ir.ia.ac.cn/handle/173211/46300]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Dong, Sheng; Zhou, Jibiao
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
2.Ningbo Univ Technol, Sch Civil & Transportat Engn, Fenghua Rd 201, Ningbo, Zhejiang, Peoples R China
推荐引用方式
GB/T 7714		 Meng, Haoyang,Dong, Sheng,Zhou, Jibiao,et al. Comparative study on e-bikes' decision-making behaviors under flashing green and green countdown[J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,2021,41(3):4407-4414.
APA Meng, Haoyang,Dong, Sheng,Zhou, Jibiao,Zhang, Shuichao,&Li, Zhenjiang.(2021).Comparative study on e-bikes' decision-making behaviors under flashing green and green countdown.JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,41(3),4407-4414.
MLA Meng, Haoyang,et al."Comparative study on e-bikes' decision-making behaviors under flashing green and green countdown".JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 41.3(2021):4407-4414.

入库方式： OAI收割

来源：自动化研究所

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