Reasearch on Fitting Method for Defective-data-mending of Urban Traffic Flow Based on SARBF Neural Networks

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A FittingApproach toMend Defective Urban Traffic Flow Information Based on SARBFNeural Networks

Data-defectives are always occurred during collecting urban traffic flow information due to all kinds of sensors’ failures. To mend the defective urban traffic flow information data, a new approach named SARBF neural network fitting is presented. It combines analysis based on spatial autocorrelation and RBF neural network fitting method. The complete data is determined to mend the defective dat...

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Research on Data Fitting of key Model for Traffic Flow

For the study of traffic flow, a number of factors for traffic flow is difficult to accurate description variables with specific parameters, but in similar circumstances, traffic flow volume change with approximately in the form of periodic changes, the development of change over time. Therefore, using the method of data fitting the traffic flow is forecast to be a more effective way to. In the...

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ژورنال

عنوان ژورنال: Information Technology Journal

سال: 2013

ISSN: 1812-5638

DOI: 10.3923/itj.2013.8570.8575