A two-dimensional data-driven model for traffic flow on highways
A two-dimensional data-driven model for traffic flow on highways
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DOI：
10.3934/nhm.2018010
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发表时间：
2017-06
期刊：
影响因子：
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通讯作者：
M. Herty;Adrian Fazekas;G. Visconti
中科院分区：
文献类型：
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作者：
M. Herty;Adrian Fazekas;G. Visconti
基于德国和美国高速公路上的实验交通数据，我们提出了一个新的二维一阶宏观交通流模型。目标是再现真实的道路几何形状的交通动力学的详细描述。在我们的方法中，动态沿着道路和车道是连续的。闭合关系，是必要的，以完成流体动力学方程，通过回归的基本图表数据。与一维模型预测的比较表明，改进的新模型的性能。
Based on experimental traffic data obtained from German and US highways, we propose a novel two-dimensional first-order macroscopic traffic flow model. The goal is to reproduce a detailed description of traffic dynamics for the real road geometry. In our approach both the dynamic along the road and across the lanes is continuous. The closure relations, being necessary to complete the hydrodynamic equation, are obtained by regression on fundamental diagram data. Comparison with prediction of one-dimensional models shows the improvement in performance of the novel model.