Hyper-Flophet: A neural Prophet-based model for traffic flow forecasting in transportation systems-Reference-Cited by-同舟云学术

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Hyper-Flophet: A neural Prophet-based model for traffic flow forecasting in transportation systems

Published:2024-07 Issue: Volume:134 Page:102954
ISSN:1569-190X
Container-title:Simulation Modelling Practice and Theory
language:en
Short-container-title:Simulation Modelling Practice and Theory

Author:

Zaraket Kawthar,Harb Hassan,Bennis Ismail,Jaber Ali,Abouaissa Abedalhafid

Publisher

Elsevier BV

Reference37 articles.

1. VANETs security issues and challenges: A survey;Elsadig;Indian J. Sci. Technol.,2016

2. A comparative study of recent advances in big data analytics in vehicular ad hoc networks;Zaraket,2022

3. A hybrid deep learning model with attention-based conv-LSTM networks for short-term traffic flow prediction;Zheng;IEEE Trans. Intell. Transp. Syst.,2021

4. Welcome ... to the 2006/07 forecasting competition for neural networks & computational intelligence !,2006

5. Welcome ... to the 2008 time series forecasting competition for computational intelligence,2008

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