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Modeling and Forecasting Monthly Passenger-Load Movement Based on the Elliptic Orbit Algorithmic Model
AbstractAnalysis of the passenger-load movement is of increasing importance for the transportation industry on economic operation and system planning and management, especially in China. In this study, the so-called elliptic orbit algorithmic model is used for describing the monthly passenger-load movement. The elliptic orbit model depicts the passenger-load movement by mapping its movement as one time series to the polar coordinates, in which the angular coordinate corresponds to the time, and the radial coordinate represents the passenger-load movement. Formed elliptical orbit is used to evaluate and forecast the passenger-load movement. The proposed method achieves satisfying experimental results in evaluating and forecasting the monthly passenger-load movements on the railways, highways, waterways, and airlines of China in 2011 and 2012. Result analysis indicates workability of the proposed method that the passenger-load movement is well described by the elliptic orbit model, which provides a vivid description for the passenger-load movement analysis in a concise and intuitive way.
Modeling and Forecasting Monthly Passenger-Load Movement Based on the Elliptic Orbit Algorithmic Model
AbstractAnalysis of the passenger-load movement is of increasing importance for the transportation industry on economic operation and system planning and management, especially in China. In this study, the so-called elliptic orbit algorithmic model is used for describing the monthly passenger-load movement. The elliptic orbit model depicts the passenger-load movement by mapping its movement as one time series to the polar coordinates, in which the angular coordinate corresponds to the time, and the radial coordinate represents the passenger-load movement. Formed elliptical orbit is used to evaluate and forecast the passenger-load movement. The proposed method achieves satisfying experimental results in evaluating and forecasting the monthly passenger-load movements on the railways, highways, waterways, and airlines of China in 2011 and 2012. Result analysis indicates workability of the proposed method that the passenger-load movement is well described by the elliptic orbit model, which provides a vivid description for the passenger-load movement analysis in a concise and intuitive way.
Modeling and Forecasting Monthly Passenger-Load Movement Based on the Elliptic Orbit Algorithmic Model
Yang, Zong-chang (author)
2015
Article (Journal)
English
BKL:
56.03
/
56.03
Methoden im Bauingenieurwesen
Local classification TIB:
770/3130/6500
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