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A new lattice model of traffic flow with the consideration of individual difference of anticipation driving behavior

机译:考虑预期驾驶行为个体差异的交通流新格模型

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In this paper, we propose a new lattice model of traffic flow with the consideration of individual difference of anticipation driving behavior. The linear stability condition and the mKdV equation are derived from linear stability analysis and nonlinear analysis, respectively. Furthermore, numerical simulation shows that the anticipation driving behavior can increase the cell number of low density, which means that more cars can run freely and traffic congestion can be suppressed efficiently by taking the anticipation driving behavior into account in lattice model. Moreover, with the coefficient of the anticipation driving behavior increasing, the low density region turns wide corresponding to individual difference of anticipation driving behavior.
机译:在本文中,我们提出了一种新的交通流格模型,该模型考虑了预期驾驶行为的个体差异。线性稳定性条件和mKdV方程分别来自线性稳定性分析和非线性分析。此外,数值模拟表明,预期驾驶行为可以增加低密度的单元格数量,这意味着通过在格子模型中考虑预期驾驶行为,可以使更多的汽车自由行驶,并可以有效地抑制交通拥堵。此外,随着预期驾驶行为的系数增加,低密度区域对应于预期驾驶行为的个体差异而变宽。

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