The railway passenger volume has an obvious seasonal behavior, and has volatility and instability. The features of it brings a lot of difficulties to forecast the volume in short-term. To investigate the trends and seasonal variations of railway passenger flow, we discuss multiplicative Holt-Winters model as a method. This paper states the basic theory and algorithm of the model, and provides the experimental results by using the data of China railway passenger volume in 2006 to 2010. The result shows the feasibility and effectiveness of the proposed approaches


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    Title :

    Prediction Scheme of Railway Passenger Flow Based on Multiplicative Holt-Winters Model



    Published in:

    Applied Mechanics and Materials ; 416-417 ; 1949-1953


    Publication date :

    2013-09-10


    Size :

    5 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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