Abstract
According to fractal characteristics of the arrival passenger flow volume of the urban rail transit station, the paper established the arrival passenger flow volume short-term forecasting model based on the fractal theory. Then, the paper took the AHQB station of MRT Line Four in Beijing as an example and forecasted the short-term arrival passenger flow volume. Lastly, the paper gave a comparison between the predicted value and the actual value, and found that the maximum error was less than 7 %. It indicated that the model established could be used to forecast the short-term arrival passenger flow volume of the urban rail transit, and had better adaptability.
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Acknowledgments
Special thanks to Yuanhua Jia, my teacher, and Xihui Yin, Zhong-hai Niu, my classmates, for all information and advises.
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© 2014 Springer-Verlag Berlin Heidelberg
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Zhang, L., Jia, Y., Yin, X., Niu, Zh. (2014). The Arrival Passenger Flow Short-Term Forecasting of Urban Rail Transit Based on the Fractal Theory. In: Xia, H., Zhang, Y. (eds) The 2nd International Symposium on Rail Transit Comprehensive Development (ISRTCD) Proceedings. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37589-7_9
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DOI: https://doi.org/10.1007/978-3-642-37589-7_9
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