通过对高速公路宏观动态交通流模型的分析，提出了动态交通流的神经网络模型。
By analyzing the freeway macroscopic dynamic traffic flow model, the paper presents a neural network model for traffic flow.
研究结果表明，用气象卫星资料可以对我国的干旱、洪涝状况进行宏观动态监测。
The results show that the meteorological satellite data are more suitable for drought or flood monitoring in China.
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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