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ST-Hformer: A Fusion of Recurrence and Attention in a Hybrid Transformer for Spatio-Temporal Traffic Modeling

https://doi.org/10.2139/ssrn.5124100
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Identity Mappings in Deep Residual Networks
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Road Traffic Prediction Using Context-Aware Random Forest Based on Volatility Nature of Traffic Flows
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Data-Driven Short-Term Forecasting for Urban Road Network Traffic Based on Data Processing and LSTM-RNN
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Dynamic prediction of traffic volume through Kalman filtering theory
inferredcites →https://doi.org/10.1016/j.asoc.2025.112979openalex-snapshot
Dynamic trend fusion module for traffic flow prediction
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SSGRU: A novel hybrid stacked GRU-based traffic volume prediction approach in a road network
inferredcites →https://doi.org/10.1016/j.neunet.2024.106941openalex-snapshot
PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction
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Short-term traffic forecasting: Where we are and where we’re going
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Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
inferredcites →https://doi.org/10.1016/j.trc.2019.03.022openalex-snapshot
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending
inferredcites →https://doi.org/10.1080/15472450902858368openalex-snapshot
Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models
inferredcites →https://doi.org/10.1109/access.2020.2964680openalex-snapshot
RNN-Based Subway Passenger Flow Rolling Prediction
inferredcites →https://doi.org/10.1109/access.2021.3062114openalex-snapshot
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/icde53745.2022.00262openalex-snapshot
Towards Spatio- Temporal Aware Traffic Time Series Forecasting
inferredcites →https://doi.org/10.1109/jproc.2020.3004555openalex-snapshot
A Comprehensive Survey on Transfer Learning
inferredcites →https://doi.org/10.1109/tits.2004.837813openalex-snapshot
Travel-Time Prediction With Support Vector Regression
inferredcites →https://doi.org/10.1109/tits.2005.848363openalex-snapshot
On-Road Vehicle Detection Using Evolutionary Gabor Filter Optimization
inferredcites →https://doi.org/10.1109/tits.2014.2345663openalex-snapshot
Traffic Flow Prediction With Big Data: A Deep Learning Approach
inferredcites →https://doi.org/10.1109/tits.2019.2935152openalex-snapshot
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
inferredcites →https://doi.org/10.1109/tits.2020.2997352openalex-snapshot
A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction
inferredcites →https://doi.org/10.1109/tvt.2018.2880007openalex-snapshot
Real-Time Taxi-Passenger Prediction With L-CNN
inferredcites →https://doi.org/10.1111/tgis.12644openalex-snapshot
Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting
inferredcites →https://doi.org/10.1117/12.2673559openalex-snapshot
A variable tolling scheme for highway tolls based on traffic forecasting
inferredcites →https://doi.org/10.1145/3447548.3467430openalex-snapshot
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
inferredcites →https://doi.org/10.1145/3583780.3615160openalex-snapshot
Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
inferredcites →https://doi.org/10.1609/aaai.v31i1.10735openalex-snapshot
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
inferredcites →https://doi.org/10.1609/aaai.v34i01.5438openalex-snapshot
Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
inferredcites →https://doi.org/10.1609/aaai.v34i01.5477openalex-snapshot
GMAN: A Graph Multi-Attention Network for Traffic Prediction
inferredcites →https://doi.org/10.1609/aaai.v37i4.25556openalex-snapshot
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
inferredcites →https://doi.org/10.1609/aaai.v37i9.26317openalex-snapshot
Are Transformers Effective for Time Series Forecasting?
inferredcites →https://doi.org/10.24963/ijcai.2018/505openalex-snapshot
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
inferredcites →https://doi.org/10.24963/ijcai.2024/442openalex-snapshot
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
inferredcites →https://doi.org/10.3141/1644-14openalex-snapshot
Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models
inferredcites →https://doi.org/10.48550/arxiv.1211.5063openalex-snapshot
On the difficulty of training Recurrent Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1506.04214openalex-snapshot
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1707.01926openalex-snapshot
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
inferredcites →https://doi.org/10.48550/arxiv.2007.02842openalex-snapshot
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
inferredcites →https://doi.org/10.48550/arxiv.2103.16349openalex-snapshot
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting
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