Prediction of Station Passenger Flow Volume Based on Fractal Theory

Abstract:

In order to seek the distribution rule of station passenger flow and discuss research methods of public transport based on station, prediction model of station passenger flow volume was proposed with the fractal theory. Firstly, it used correlation dimension to establish a time series forecasting model, which analyzes the time distribution rule of station passenger flow with the phase space reconstruction theory. Finally, it took the stations of Route 255 in Changchun as example, which used the time series forecasting model to forecast the station passenger flow volume at moments. It is shown that the model obtains a less error and a greater application value.

• Periodical: Applied Mechanics and Materials (Volumes 99-100)
• Pages: 203-206
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.99-100.203
• Online since: September 2011
• Authors: Qing Fei Tian, Shu Zhi Zhao, Yang Cao
• Keywords: Fractal Theory, Phase Space Reconstruction, Station Passenger Flow Volume, Traffic and Transportation Engineering

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