Modeling Traffic Volume Based on Highway Toll Database Using GM (1,1)

Abstract:

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To circumvent the poor prediction accuracy of traffic volume models available due to the lack of traffic data and inaccurate judgments on the traffic influence factors, in this paper we established a traffic volume prediction model using grey forecasting model GM(1,1) based on the real traffic data from the highway toll database. The GM(1,1) method has advantage of the strong adaptiveness to Complex system, thus getting a great advantage over other methods for modeling such a complex nonlinear traffic volume system with many uncertain influence factors. Simulation results show that our GM(1,1) model has mean relative prediction error of 3.9%, which accomplishes our intended prediction accuracy.

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Periodical:

Edited by:

Honghua Tan

Pages:

563-568

DOI:

10.4028/www.scientific.net/AMM.66-68.563

Citation:

Y. S. An et al., "Modeling Traffic Volume Based on Highway Toll Database Using GM (1,1)", Applied Mechanics and Materials, Vols. 66-68, pp. 563-568, 2011

Online since:

July 2011

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Price:

$35.00

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