Mixed distribution model of vehicle headway based on multiclass car following

被引：5
作者：
Wang, Fu-Jian [1 ]
Dai, Mei-Wei [1 ]
Sun, Ling-Tao [1 ]
Jin, Sheng [1 ]
机构：
[1] College of Civil Engineering and Architecture, Zhejiang University, Hangzhou
来源：
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2015年 / 49卷 / 07期
关键词：
Car following; Distribution model; Expectation maximization algorithm; Headway; Traffic flow;
D O I：
10.3785/j.issn.1008-973X.2015.07.013
中图分类号：
学科分类号：
摘要：
Based on the characteristics of driver's psychological behavior, driving behaviors were classified into strong car-following, weak car-following and free driving state. Then a ternary mixed distribution model that can describe the headway distribution of three driving states was built. The parameters of the ternary mixture distribution model were determined by expectation maximization (EM) algorithm through a case study of Beijing expressway, and the data of three different driving behavior were deep analyzed. Results show that the fitting precision of ternary mixed distribution model is the best compared with other Weibull and Lognormal models. ©, 2015, Zhejiang University. All right reserved.
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收藏
页码：1288 / 1294
页数：6
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