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

作者：

Highlights：

• An adaptive sparse autoregressive model for traffic forecasting.

• An explicit preconditioned iterative method for model training.

• A cluster-based hyperparameter optimization method.

摘要

•An adaptive sparse autoregressive model for traffic forecasting.•An explicit preconditioned iterative method for model training.•A cluster-based hyperparameter optimization method.

论文关键词：Multi-step traffic forecasting,Autoregressive model,Sparse least squares,Efficiency,Hyperparameter optimization

论文评审过程：Received 26 January 2021, Revised 12 April 2021, Accepted 19 April 2021, Available online 26 April 2021, Version of Record 6 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115093