Under the uniformly congested freeway and selecting appropriate flow density function, a freeway network flow model is constructed.
考虑快速路一致拥挤的前提下，通过选取适当的流—密关系式，建立快速路网络流模型。
By analyzing the freeway macroscopic dynamic traffic flow model, the paper presents a neural network model for traffic flow.
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。
The variable speed control for freeway traffic is a nonlinear and time variable system, it is difficult to model with a mathematical model. A neural network control method is put forward.
针对高速公路可变速度控制是一个非线性时变系统，难于用数学模型准确建模这一特点，提出了神经网络控制方法。
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