Short-Term Urban Rail Passenger Flow Forecasting: A Dynamic Bayesian Network Approach

作者: Jeremy Roos , Stephane Bonnevay , Gerald Gavin

DOI: 10.1109/ICMLA.2016.0187

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摘要: … rail) lines, 8 tramway lines and more than 350 bus lines. Currently, it uses several tools for passenger … forecast the short-term passenger flows of the RATP urban rail network (metro and …

参考文章(35)
J W Van Lint, C P Van Hinsbergen, F M Sanders, Short Term Traffic Prediction Models PROCEEDINGS OF THE 14TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS (ITS), HELD BEIJING, OCTOBER 2007. ,(2007)
Chris van Hinsbergen, Hans van Lint, Short-Term Traffic and Travel Time Prediction Models Transportation research circular. ,(2012)
Mohammed S Ahmed, Allen R Cook, ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES Transportation Research Record. ,(1979)
Nir Friedman, Learning Belief Networks in the Presence of Missing Values and Hidden Variables international conference on machine learning. pp. 125- 133 ,(1997)
Nir Friedman, The Bayesian structural EM algorithm uncertainty in artificial intelligence. pp. 129- 138 ,(1998)
Stuart Russell, Daphne Koller, Keiji Kanazawa, Stochastic simulation algorithms for dynamic probabilistic networks uncertainty in artificial intelligence. pp. 346- 351 ,(1995)
Filmon G. Habtemichael, Mecit Cetin, Short-term traffic flow rate forecasting based on identifying similar traffic patterns Transportation Research Part C-emerging Technologies. ,vol. 66, pp. 61- 78 ,(2016) , 10.1016/J.TRC.2015.08.017
Nir Friedman, Stuart Russell, Kevin Murphy, Learning the structure of dynamic probabilistic networks uncertainty in artificial intelligence. pp. 139- 147 ,(1998)