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。
A dynamic recurrent neural network to freeway macroscopic traffic flow modeling is presented.
提出用动态回归神经网络建立高速公路宏观交通流模型。
The control for speed limitation on freeway is a nonlinear and time variable system, it is difficult to model with a mathematical model. A control method based on RBF Neural Network is put forward.
针对高速公路限速控制是一个非线性时变系统、难以用数学模型准确建模这一特点，提出了R BF神经网络控制方法。
Then, the BP neural network is trained by using traffic flow data from a section of freeway and the network model parameters can be obtained.
并利用一段高速公路的交通流数据对BP神经网络进行训练，得到网络参数。
The freeway network in China is rapidly developing, causing a lot of problems about maintenance and management.
我国公路建设在飞速发展的同时，大量的养护、管理问题也随之出现。
The freeway network in China is rapidly developing, causing a lot of problems about maintenance and management.
我国公路建设在飞速发展的同时，大量的养护、管理问题也随之出现。
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