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
Prediction Scheme of Railway Passenger Flow Based on Multiplicative Holt-Winters Model
Applied Mechanics and Materials ; 416-417 ; 1949-1953
2013-09-10
5 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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