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Author/Affiliation: Li GuoOpen AccessArticle
10 Pages, 2,914 KB 
A Hybrid NMF-AttLSTM Method for Short-term Traffic Flow Prediction
Abstract:
In view of the current short-term traffic flow prediction methods that fail to fully consider the spatial correlation of traffic flow, and fail to make full use of historical data features, resulting in low prediction accuracy and poor robustness. Therefore, in paper, combining Non-negative Matrix Factorization (NMF) and LSTM model Based on Attention Mechanism (AttLSTM),…
Read More(This article belongs to the SP11 (Special Issue on Innovation in Computing, Engineering Science & Technology 2021) & Section Interdisciplinary Applications of Computer Science (CSI))