Forecast of Short-Term Passenger Flow of Urban Railway Stations Based on Seasonal ARIMA Model-Reference-Cited by-同舟云学术

Forecast of Short-Term Passenger Flow of Urban Railway Stations Based on Seasonal ARIMA Model

Published:2018 Issue: Volume: Page:759-767
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Guang Zhirui,Yang Jun,Li Jian

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-7989-4_77

Reference11 articles.

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3. Zhou J, Zhang D (2014) Direct ridership forecast model of urban rail transit stations based on spatial weighted LS-SVM. J China Railway Soc 36(1):1–7

4. Li X, Lv X (2011) Forecast of railway short-term passenger flow based on RBF neural network Railway Transp Econ 33(6):86–89. (in Chinese)

5. Khan A, Bayesian M (2012) predictive travel time methodology for advanced traveler information system. J Adv Transp 46(1):67–79

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