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Section-wise modeling of traffic flow and its application in traffic state estimation

机译:交通流量的分段建模及其在交通状态估计中的应用

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The section-wise macroscopic modeling of traffic flow is considered. A section is supposed to be bounded by detectors and several kilometers long. To compute a section model without input from the adjacent sections, feasible boundary conditions have to be specified and boundary variables have to be approximated by the detector measurements. These approximations lead to unknown disturbances in the section model, depending on the direction of propagation of information in the traffic flow. Various approximations of the boundary variables are described and a disturbance modeling approach is proposed. The application of section models in traffic state estimation and the effects on the estimation error are discussed. Simulation tests are showing the performance of the estimation, based on the various boundary approximations.
机译:考虑交通流量的分段宏观建模。一段应该以探测器为界并且长几公里。为了在没有来自相邻截面的输入的情况下计算截面模型,必须指定可行的边界条件,并且必须通过检测器测量来近似边界变量。这些近似会导致截面模型中的未知干扰,具体取决于交通流中信息传播的方向。描述了边界变量的各种近似,并提出了一种干扰建模方法。讨论了截面模型在交通状态估计中的应用以及对估计误差的影响。仿真测试显示了基于各种边界近似的估计性能。

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