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.
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.
流体动力学模型在揭示非线性现象和交通流宏观特性方面有着独特的优势。
The fluid mechanics model has special advantages in disclosing nonlinear phenomena and macroscopic characteristics of traffic flow.
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".
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.
根据常用的高速公路交通流宏观动态模型，建立了高速公路交通流的RBF神经网络模型。
On the basis of macroscopic dynamic traffic flow model which is frequently used in traffic control, Radial basis Function (RBF) neural network is designed.
以前的研究主要集中于宏观模型，讨论交通流量及密度的变化。
In the past, the hot point is the macroscopic model, which discusses the relationships among the traffic stream variables-speed, flow and density.
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.
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.
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