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  • 标题:Capacity Drops at Merges: an endogenous model
  • 本地全文:下载
  • 作者:Ludovic Leclercq ; Ludovic Leclercq ; Jorge A. Laval
  • 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
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