Ensemble of ARIMA: combining parametric and bootstrapping technique for traffic flow prediction-Reference-Cited by-同舟云学术

Ensemble of ARIMA: combining parametric and bootstrapping technique for traffic flow prediction

Published:2020-01-01 Issue:3 Volume:16 Page:1552-1573
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Shahriari Siroos¹,Ghasri Milad²,Sisson S. A.³^ORCID,Rashidi Taha¹

Affiliation:

1. Research Centre for Integrated Transport and Innovation (rCITI), School of Civil & Environmental Engineering, University of New South Wales, Sydney, Australia

2. School of Engineering and Information Technology, University of New South Wales, Canberra, Australia

3. School of Mathematics and Statistics, University of New South Wales, Sydney, Australia

Funder

Australian Research Council

Publisher

Informa UK Limited

Subject

General Engineering,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249935.2020.1764662

Reference65 articles.

1. Ensemble forecasting of species distributions

2. The Combination of Forecasts

3. Learning long-term dependencies with gradient descent is difficult

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