Multi Long-Short Term Memory Models for Short Term Traffic Flow Prediction

Zelong XUE  Yang XUE  

IEICE TRANSACTIONS on Information and Systems   Vol.E101-D   No.12   pp.3272-3275
Publication Date: 2018/12/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2018EDL8087
Type of Manuscript: LETTER
Category: Biocybernetics, Neurocomputing
multi-lstm models,  k-means clustering,  short term traffic flow prediction,  

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Many single model methods have been applied to real-time short-term traffic flow prediction. However, since traffic flow data is mixed with a variety of ingredients, the performance of single model is limited. Therefore, we proposed Multi-Long-Short Term Memory Models, which improved traffic flow prediction accuracy comparing with state-of-the-art models.