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.
宏观角度的分析得出了该模型与宏观交通流模型基本规律的一致性，并得到了模型参数和交通参数之间的关系。
The results suggest that the HPN model accord with the fundamental laws of traffic flow model. And the relation between the variables of HPN model and traffic system is obtained.
建立宏观的高速公路交通流动态模型并设计理想的控制方案具有重要的理论意义和实际应用价值。
To establish a macroscopical highway traffic flow dynamic model and to design a perfect control scheme it is of great importance for both theory and practice.
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