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.
以高速公路宏观动态交通流模型为原型，利用分段辨识法分析了高速公路交通流特性。
It takes the expressway macro dynamic traffic flow model as prototype and analyzes the characteristics of expressway traffic flow with "Segment Identification Method".
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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