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.
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.
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