A simple nonparametric car-following model driven by field data
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- 作者：Zhengbing Hea ; he.zb@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Liang Zhengb ; zhengliang@csu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Wei Guana ; weig@bjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Car-following model ; Data-driven approach ; k-nearest neighbour ; Traffic oscillation ; Fundamental diagram
- 刊名：Transportation Research Part B: Methodological
- 出版年：2015
- 出版时间：October 2015
- 年：2015
- 卷：80
- 期：Complete
- 页码：185-201
- 全文大小：3552 K
文摘
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A nonparametric car-following model based on k-nearest neighbour is proposed.
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Neither mathematical equation nor calibration is needed in the model.
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Neither fundamental diagrams nor driver’s behaviour parameters is assumed.
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The model is simple and parsimonious, because there is only one parameter.
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The model is able to well reproduce important traffic characteristics.