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.
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".
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