Markov Modified Exponential Smoothing Forecast of Highway Passenger Volume

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Abstract:

To ensure the highway passenger transport policy and the allocation of scientific nature, the application of exponential smoothing method to analyze the highway passenger volume from 2000 to 2009,calculated once, twice and three times smoothness index and smoothing coefficient, and ultimately determine the three smoothing prediction model; according to the forecast model ,and calculate the highway passenger volume in the region from 2010 to 2014, compared with the actual highway passenger volume, the relative error values respectively is 3.243% and 4.729%, and both less than 5%, which can meet the accuracy requirements for the statistical confidence of 95%,the model is more in line with the actual situation, higher effectiveness.

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3714-3721

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May 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] LI Xiang-yong, ZHANG Nan, JIANG Ge-fu. Grey-markov Model for Forecasting Road Accidents. Journal of Highway and Transportation Research and Development, 2003, 20(4): 98-101.

Google Scholar

[2] Zhai Jun, Sheng Jian-ming. The grey model MGM(1, n)and its application. Systems Engineering -Theory and Practice. 1997, 17(5)1109-113.

Google Scholar

[3] ZHAO Lin-lin, XIA Le-tian. Improved gray Markov SCGM(1, 1) model and its application. Journal of Hohai University (Natural Sciences), 2007, 35(4): 487-490.

Google Scholar

[4] LIU Shu-huan, JIAO Bao-cong. The construction and application of grey forecast model in road traffic accident of Beijing. Mathematics in Practice and Theory, 2009, 39(9): 115-122.

Google Scholar

[5] ZHENG Jian-hu, HUANG Ming-fang, CHEN Hui. Construction & Implementation of Grey Prediction Model for Road Traffic Accidents in Fuzhou Journal of Wuhan University of Technology (Transportation Science & Engineering) , 2011, 35(3): 634-636.

Google Scholar