期刊
NEUROCOMPUTING
卷 167, 期 -, 页码 3-7出版社
ELSEVIER
DOI: 10.1016/j.neucom.2014.08.100
关键词
Traffic flow forecasting; Ensembling; Bagging; Neural networks
In this paper we show a hybrid modeling approach which combines Artificial Neural Networks and a simple statistical approach in order to provide a one hour forecast of urban traffic flow rates. Experimentation has been carried out on three different classes of real streets and results show that the proposed approach outperforms the best of the methods it puts together. (C) 2015 Elsevier B.V. All rights reserved.
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