An adaptive cluster-based sparse autoregressive model for large-scale multi-step traffic forecasting

Author:

Salamanis Athanasios I.,Lipitakis Anastasia-Dimitra,Gravvanis George A.,Kotsiantis Sotiris,Anagnostopoulos Dimosthenis

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference57 articles.

1. Traffic flow prediction for road transportation networks with limited traffic data;Abadi;IEEE Transactions on Intelligent Transportation Systems,2015

2. Forecasting traffic congestion using arima modeling;Alghamdi,2019

3. Bjork, A. (1996). Numerical Methods for Least Squares Problems. Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611971484.

4. A graph cnn-lstm neural network for short and long-term traffic forecasting based on trajectory data;Bogaerts;Transportation Research Part C: Emerging Technologies,2020

5. Ranking learning algorithms: Using ibl and meta-learning on accuracy and time results;Brazdil;Machine Learning,2003

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