An optimal control model of on-ramp metering was constructed, which was based on the dynamic discrete traffic flow model in multilane freeway.
建立了一个基于多车道动态离散交通流模型的高速公路入口匝道流量优化控制模型。
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 macro model of traffic flow in freeway is a high order, nonlinear and time variant system which makes the problem of its identification become very difficult.
高速公路交通流模型是一个高阶非线性时变系统，这使得该模型的辨识问题成为一个非常困难的问题。
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。
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。
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