Wavelet transform is introduced into traffic flow data preprocessing to enhance data accuracy. And the BP neural network predicts the future traffic flow velocity using the historical data.
在数据预处理中引入小波变换对交通流数据进行消噪处理，以提高数据的准确度。
By computing the spatial correlation function, the evolution plots of velocity, the relaxation time and the order parameter, the effect of top-priority of randomization on traffic flow is studied.
通过位置相关函数、速度时空演化图、驰豫时间和序参量的计算，研究优先随机慢化对交通流的影响。
Initially set velocity, density of traffic flow, traffic volume of service and the rate of traffic load as the measurement indicators.
对航道服务水平进行定义，并初步确定速度、交通流密度、服务交通量和交通量负荷比等四项度量指标。
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