In order to solve serious urban transport problems, according to the proved chaotic characteristic of traffic flow, a non linear chaotic model to analyze the time series of traffic flow is proposed.
为了解决日益严重的城市交通问题，本文根据交通流已被证明的混沌特性，尝试采用非线性混沌模型来分析交通流时间序列。
In this context, the research in this dissertation strives to develop traffic flow characteristic parameter models of urban expressways based on physical properties.
在此背景下，本文提出了基于物理属性的城市快速路交通流特征参数模型。
To grasp exactly the traffic flow characteristic of urban road under ice and snowfall conditions, headway distribution of different kinds of urban road was studied.
为准确把握冰雪条件下城市道路交通流特性，研究城市不同类别道路的车头时距分布规律。
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