在研究了现有的交通流宏观模型的基础上，采用差分方法对BD型交通流模型进行了数值模拟。
This paper, on the basis of studying the existing macroscopic model of traffic flow, applied difference method to simulating traffic flow model of model BD.
提出用动态回归神经网络建立高速公路宏观交通流模型。
A dynamic recurrent neural network to freeway macroscopic traffic flow modeling is presented.
根据理论基础和研究方法的不同，可以将各种交通流模型分为宏观模型、中观模型和微观模型。
According to theoretical basis and research methods, the traffic flow models can be classified into macroscopic, meso-scopic and microscopic ones.
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