A non-linear grey Fourier model based on kernel method for seasonal traffic speed forecasting-Reference-Cited by-同舟云学术

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A non-linear grey Fourier model based on kernel method for seasonal traffic speed forecasting

Published:2024-04 Issue: Volume:131 Page:107871
ISSN:1007-5704
Container-title:Communications in Nonlinear Science and Numerical Simulation
language:en
Short-container-title:Communications in Nonlinear Science and Numerical Simulation

Author:

Wang Xiaolei,Xie Naiming

Publisher

Elsevier BV

Reference55 articles.

1. Features injected recurrent neural networks for short-term traffic speed prediction;Qu;Neurocomputing,2021

2. An efficient short-term traffic speed prediction model based on improved TCN and GCN;Hu;Sensors,2021

3. Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach;Vlahogianni;Transp Res C,2005

4. Survey on traffic prediction in smart cities;Nagy;Pervasive Mob Comput,2018

5. A comprehensive study of speed prediction in transportation system: From vehicle to traffic;Zhou;Iscience,2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An unbiased non-homogeneous grey forecasting model and its applications;Applied Mathematical Modelling;2025-01

2. A novel fractional neural grey system model with discrete q-derivative;Complex & Intelligent Systems;2024-06-10

3. On the Limitations of Univariate Grey Prediction Models: Findings and Failures;Computational and Mathematical Methods;2024-01

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