By analyzing short time traffic flow time sequence property, the gray system theory is used for short time traffic flow prediction and the scrolling GM (1, 1) prediction model is set up.
通过分析短时交通流时序特性，将灰色系统理论应用于短时交通流预测，建立了滚动GM(1,1)预测模型。
In this paper, the time - sequence model of traffic flow is based on the improved BP neural network, and this model can be used for short time prediction of traffic flow.
本文采用改进型BP神经网络建立起交通流的时间序列模型，该模型可用于短期内道路交通流量的预测。
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