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Jiandong Zhao, Yuting Lan, Zhixin Yu, Huidan Cao
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Data-driven transfer learning framework for estimating on-ramp and off-ramp traffic flows
10.1080/15472450.2023.2301696 · 2025
Overview of traffic flow forecasting techniques
10.1109/ojits.2025.3580802 · 2025
Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions
10.1016/j.eswa.2008.07.069 · 2009
Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications
10.1186/s40537-024-00973-y · 2024
LSTM network: a deep learning approach for short-term traffic forecast
10.1049/iet-its.2016.0208 · 2017
Long Short-Term Memory Networks for Traffic Flow Forecasting: Exploring Input Variables, Time Frames and Multi-Step Approaches
2020
A gated recurrent unit considering spatial correlation for short-term traffic volume forecasting in highway tunnels
10.1016/j.engappai.2025.111796 · 2025
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spatiotemporal graph convolutional networks: a deep learning framework for traffic forecasting
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Diffusion convolutional recurrent neural network: data-driven traffic forecasting
2018
Graph WaveNet for deep spatial-temporal graph modeling
2019
Evaluation of encoder-only transformer for multi-step traffic flow prediction
10.1109/access.2025.3580500 · 2025
Adaptive graph convolutional recurrent network for traffic forecasting
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Spatial-temporal fusion graph neural networks for traffic flow forecasting
2021
DSTAGNN: Dynamic spatial-temporal aware graph neural network for traffic flow forecasting
2022
Hybrid spatiotemporal graph neural network with attention fusion for traffic flow prediction
10.1016/j.knosys.2025.113813 · 2025
Spatial-temporal dynamic graph convolutional network with interactive learning for traffic forecasting
10.1109/tits.2024.3362145 · 2024
Graph neural controlled differential equations for traffic forecasting
2022
DCENet: A dynamic correlation evolve network for short-term traffic prediction
10.1016/j.physa.2023.128525 · 2023
Dynamic frequency domain graph convolutional network for traffic forecasting
2024
A novel spatiotemporal feature interleaved contrast learning neural network from a robustness perspective
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Attention is all you need
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GMAN: A graph multi-attention network for traffic prediction
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Light attention-based neural networks for traffic flow prediction
10.1016/j.physa.2025.130665 · 2025
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2023
Attention based spatial-temporal graph convolutional networks for traffic flow forecasting
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Traffic forecasting with meta attentive graph convolutional recurrent network
10.1016/j.eswa.2025.128073 · 2025
On the Spectral Bias of Neural Networks
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When spatiotemporal meet wavelets: disentangled traffic forecasting via efficient spectral graph attention networks
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A spatial-temporal trend-event decoupling dual-channel framework for traffic flow prediction
10.1016/j.eswa.2025.128107 · 2025
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Decoupled dynamic spatial-temporal graph neural network for traffic forecasting
10.14778/3551793.3551827 · 2022
FDDSGCN: Fractional decoupling dynamic spatiotemporal graph convolutional network for traffic forecasting
2025
Decoupled multi-spatiotemporal fusion graph convolutional recurrent network for traffic prediction
2026
Urban road traffic flow prediction: A graph convolutional network embedded with wavelet decomposition and attention mechanism
10.1016/j.physa.2022.128274 · 2022
DFGNet: a dual-pathway graph neural network via frequency decomposition for spatiotemporal forecasting
10.1016/j.eswa.2025.129518 · 2026
ST-MGAT: spatio-temporal multi-head graph attention network for traffic prediction
10.1016/j.physa.2022.127762 · 2022
ST-MGAT: spatio-temporal multi-head graph attention network for traffic prediction
10.1016/j.physa.2022.127762 · doi-reference
DFGNet: a dual-pathway graph neural network via frequency decomposition for spatiotemporal forecasting
10.1016/j.eswa.2025.129518 · doi-reference
Urban road traffic flow prediction: A graph convolutional network embedded with wavelet decomposition and attention mechanism
10.1016/j.physa.2022.128274 · doi-reference
Decoupled dynamic spatial-temporal graph neural network for traffic forecasting
10.14778/3551793.3551827 · doi-reference
A spatial-temporal trend-event decoupling dual-channel framework for traffic flow prediction
10.1016/j.eswa.2025.128107 · doi-reference
Traffic forecasting with meta attentive graph convolutional recurrent network
10.1016/j.eswa.2025.128073 · doi-reference
Light attention-based neural networks for traffic flow prediction
10.1016/j.physa.2025.130665 · doi-reference
A novel spatiotemporal feature interleaved contrast learning neural network from a robustness perspective
10.1016/j.knosys.2024.112788 · doi-reference
DCENet: A dynamic correlation evolve network for short-term traffic prediction
10.1016/j.physa.2023.128525 · doi-reference
Spatial-temporal dynamic graph convolutional network with interactive learning for traffic forecasting
10.1109/tits.2024.3362145 · doi-reference
Hybrid spatiotemporal graph neural network with attention fusion for traffic flow prediction
10.1016/j.knosys.2025.113813 · doi-reference
Evaluation of encoder-only transformer for multi-step traffic flow prediction
10.1109/access.2025.3580500 · doi-reference
A gated recurrent unit considering spatial correlation for short-term traffic volume forecasting in highway tunnels
10.1016/j.engappai.2025.111796 · doi-reference
LSTM network: a deep learning approach for short-term traffic forecast
10.1049/iet-its.2016.0208 · doi-reference
Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications
10.1186/s40537-024-00973-y · doi-reference
Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions
10.1016/j.eswa.2008.07.069 · doi-reference
Overview of traffic flow forecasting techniques
10.1109/ojits.2025.3580802 · doi-reference
Data-driven transfer learning framework for estimating on-ramp and off-ramp traffic flows
10.1080/15472450.2023.2301696 · doi-reference