文章基本信息

标题：Capacity Drops at Merges: an endogenous model
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作者：Ludovic Leclercq ; Ludovic Leclercq ; Jorge A. Laval 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2011
卷号：17
页码：12-26
DOI：10.1016/j.sbspro.2011.04.505
语种：English
出版社：Elsevier
摘要：AbstractThe Newell-Daganzo merge model is not only very simple but also accurately reproduces experimental findings. However, the capacity downstream of the merge is an exogenous variable in the model. This is a serious limitation for merges that behave as active bottlenecks because their downstream capacity is a direct consequence of the merging behavior. This paper proposes an analytical model that extends the Newell-Daganzo model by incorporating, endogenously, the capacity drop related to the merging process. Two cases are investigated depending on the traffic states on the on-ramp. The model properties are analyzed and a sensitivity analysis is performed to quantify the relative contribution of the each parameter in the capacity drop. Finally, the extended Newell-Daganzo model is validated with experimental data coming from an active merge bottleneck on the M6 freeway in UK.
关键词：Capacity drop;merge;merge ratio;kinematic wave model;active bottleneck