Two-dimensional macroscopic model for large scale traffic networks
Two-dimensional macroscopic model for large scale traffic networks
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DOI：
10.1016/j.trb.2019.02.016
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发表时间：
2019-04
期刊：
影响因子：
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通讯作者：
S. Mollier;Maria Laura Delle Monache;C. Canudas-de-Wit;Benjamin Seibold
中科院分区：
文献类型：
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作者：
S. Mollier;Maria Laura Delle Monache;C. Canudas-de-Wit;Benjamin Seibold
本文介绍了一种新的高密度城市交通流模型。我们考虑一个二维守恒定律，其中速度大小由基本图给出，速度方向根据网络几何形状构建，并且假设我们没有驾驶员轨迹的精确信息。我们利用Aimsun的合成数据对模型进行了验证，并提出了一种从单个车辆数据中恢复二维密度的重建技术。最后给出了模型与实测数据的比较。
In this article we introduce a new traffic flow model for a dense urban area. We consider a two-dimensional conservation law in which the velocity magnitude is given by the fundamental diagram and the velocity direction is constructed following the network geometry and assuming we do not have precise information of drivers trajectories. We validate the model using synthetic data from Aimsun and propose a reconstruction technique to recover the 2D density from the data of individual vehicles. A comparison between the model and the data is shown.