A Study of the Traffic Flow Predictive Model Based on Mathematical Statistics and Stochastic Process

Hui Zhang; Hong Yong Zhang; Man Xia Liu

doi:10.4028/www.scientific.net/AMM.548-549.1862

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 548-549A Study of the Traffic Flow Predictive Model Based...

A Study of the Traffic Flow Predictive Model Based on Mathematical Statistics and Stochastic Process

Abstract:

Real-time traffic flow prediction is one of important issues of intelligent transportation system. Based on the theory of stochastic process of the traffic flow data, the prediction methods, such as grey expecting model and neural network, were applied in this paper. Then according to the actual traffic flow data, an improved model was proposed and the fluctuation range of predicted traffic flow was determined due to calculate an accurate result. Finally, the experiment shows that the designed prediction model can be able to achieve a short time prediction accurately for traffic flow.

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Periodical:

Applied Mechanics and Materials (Volumes 548-549)

Pages:

1862-1868

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.548-549.1862

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Cite this paper

Online since:

April 2014

Authors:

Hui Zhang*, Hong Yong Zhang, Man Xia Liu

Keywords:

Mathematical Statistics, Prediction, Stochastic Process, Traffic Flow

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* - Corresponding Author

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