An Ensemble Model of Short-Term Traffic Flow Forecasting on Freeway

Hong Yan Xiang; Hong Ling Shu

doi:10.4028/www.scientific.net/AMM.744-746.1852

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 744-746An Ensemble Model of Short-Term Traffic Flow...

An Ensemble Model of Short-Term Traffic Flow Forecasting on Freeway

Abstract:

This paper puts forward an ensemble model based on uncertainty simulation and multiple model combination for short-term traffic flow prediction. Firstly, the initial condition of traffic flow be simulated by using a normal distribution, which makes a better description of the real traffic flow situation. Secondly, an ensemble prediction model with different types of prediction methods has been presented in order to catch any possible change of trend in the traffic flow. In the ensemble model, In order to improve the prediction accuracy, this paper put forwards an equivalence test and dispersion adaptability test for choosing the most effective methods in the ensemble system. Finally, a case study be given to show the performance of the ensemble model. Predication result shows that this model has a good performance with freeway traffic flow, It is capable of providing more detail about the traffic volume, it provide mean value and standard deviation value of traffic volume in the next period, which is most important information for traffic managers and travelers.

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Periodical:

Applied Mechanics and Materials (Volumes 744-746)

Pages:

1852-1857

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.744-746.1852

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Online since:

March 2015

Authors:

Hong Yan Xiang*, Hong Ling Shu

Keywords:

Ensemble Prediction System, Mean-Variance Prediction, Short-Term Traffic Flow, Uncertainty Simulation

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