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The criticality of prompt and precise traffic forecasting in optimizing traffic flow management in Intelligent Transportation Systems (ITS) has drawn substantial scholarly focus.
Graph Wavenet for Deep Spatial-temporal Graph Modeling
Wu, Z.; Pan, S.; Long, G.; Jiang, J.; and Zhang, C. 2019 · 1906
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Freeway Performance Measurement System: Mining Loop Detector Data
Chen, C.; Petty, K. F.; Skabardonis, A.; Varaiya, P. P.; and Jia, Z. 2001 · 2001
Earlier work this paper cites.
Spatial-temporal Transformer Networks for Traffic Flow Forecasting
Xu, M.; Dai, W.; Liu, C.; Gao, X.; Lin, W.; Qi, G.-J.; and Xiong, H. 2020 · 2001
Earlier work this paper cites.
Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis And Empirical Results
Williams, B. M.; and Hoel, L. A. 2003 · 2003
Earlier work this paper cites.
A Bayesian Network Approach to Traffic Flow Forecasting
Sun, S.; Zhang, C.; and Yu, G. 2006 · 2006
Earlier work this paper cites.
Traffic Forecasting Using Least Squares Support Vector Machines
Zhang, Y.; and Liu, Y. 2009 · 2009
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Semi-supervised Classification with Graph Convolutional Networks
Kipf, T. N.; and Welling, M. 2016 · 2016
Earlier work this paper cites.
Diffusion Convolutional Recurrent Neural Network: Data-driven Traffic Forecasting
Li, Y.; Yu, R.; Shahabi, C.; and Liu, Y. 2017 · 2017
Earlier work this paper cites.
Traffic Flow Forecasting Method Based on Gradient Boosting Decision Tree
Xia, Y.; and Chen, J. 2017 · 2017
Earlier work this paper cites.
Spatio-temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Yu, B.; Yin, H.; and Zhu, Z. 2017 · 2017
Earlier work this paper cites.
Lstm Network: A Deep Learning Approach for Short-term Traffic Forecast
Zhao, Z.; Chen, W.; Wu, X.; Chen, P. C.; and Liu, J. 2017 · 2017
Earlier work this paper cites.
Attention Based Spatial-temporal Graph Convolutional Networks for Traffic Flow Forecasting
Guo, S.; Lin, Y.; Feng, N.; Song, C.; and Wan, H. 2019 · 2019
Earlier work this paper cites.
Short-term Traffic Flow Prediction Based on Spatio-temporal Analysis And Cnn Deep Learning
Zhang, W.; Yu, Y.; Qi, Y.; Shu, F.; and Wang, Y. 2019 · 2019
Earlier work this paper cites.
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Bai, L.; Yao, L.; Li, C.; Wang, X.; and Wang, C. 2020 · 2020
Earlier work this paper cites.
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Cao, D.; Wang, Y.; Duan, J.; Zhang, C.; Zhu, X.; Huang, C.; Tong, Y.; Xu, B.; Bai, J.; Tong, J.; et al. 2020 · 2020
Earlier work this paper cites.
EasyTorch: Simple and Powerful Pytorch Framework
Wang, Y. 2020 · 2020
Cited alongside, same era.
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
Wu, Z.; Pan, S.; Long, G.; Jiang, J.; Chang, X.; and Zhang, C. 2020 · 2020
Cited alongside, same era.
Spatio-temporal Graph Structure Learning for Traffic Forecasting
Zhang, Q.; Chang, J.; Meng, G.; Xiang, S.; and Pan, C. 2020 · 2020
Cited alongside, same era.
GMAN: A Graph Multi-attention Network for Traffic Prediction
Zheng, C.; Fan, X.; Wang, C.; and Qi, J. 2020 · 2020
Cited alongside, same era.
Z-gcnets: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
Chen, Y.; Segovia-Dominguez, I.; and Gel, Y. R. 2021 · 2021
Cited alongside, same era.
Historical Inertia: A Neglected But Powerful Baseline for Long Sequence Time-series Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-series Forecasting
Zhou, H.; Zhang, S.; Peng, J.; Zhang, S.; Li, J.; Xiong, H.; and Zhang, W. 2021 · 2021
Later among the works it cites.
A Novel Time Efficient Machine Learning-based Traffic Flow Prediction Method for Large Scale Road Network
Wang, Z.; Sun, P.; and Boukerche, A. 2022 · 2022
Later among the works it cites.
SFL: A High-precision Traffic Flow Predictor for Supporting Intelligent Transportation Systems
Wang, Z.; Sun, P.; Hu, Y.; and Boukerche, A. 2022b · 2022
Later among the works it cites.
Long-term Forecasting with TiDE: Time-series Dense Encoder
Das, A.; Kong, W.; Leach, A.; Sen, R.; and Yu, R. 2023 · 2023
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TSMixer: Lightweight MLP-mixer Model for Multivariate Time Series Forecasting
Ekambaram, V.; Jati, A.; Nguyen, N.; Sinthong, P.; and Kalagnanam, J. 2023 · 2023
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Cui, Y.; Xie, J.; and Zheng, K. 2021 · 2021
Cited alongside, same era.
St-norm: Spatial and temporal normalization for multi-variate time series forecasting
Deng, J.; Chen, X.; Jiang, R.; Song, X.; and Tsang, I. W. 2021 · 2021
Cited alongside, same era.
Learning Dynamics And Heterogeneity of Spatial-temporal Graph Data for Traffic Forecasting
Guo, S.; Lin, Y.; Wan, H.; Li, X.; and Cong, G. 2021 · 2021
Cited alongside, same era.
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift
Kim, T.; Kim, J.; Tae, Y.; Park, C.; Choi, J.-H.; and Choo, J. 2021 · 2021
Cited alongside, same era.
Pyraformer: Low-complexity Pyramidal Attention for Long-range Time Series Modeling And Forecasting
Liu, S.; Yu, H.; Liao, C.; Li, J.; Lin, W.; Liu, A. X.; and Dustdar, S. 2021 · 2021
Cited alongside, same era.
Fc-gaga: Fully Connected Gated Graph Architecture for Spatio-temporal Traffic Forecasting
Oreshkin, B. N.; Amini, A.; Coyle, L.; and Coates, M. 2021 · 2021
Cited alongside, same era.
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Shang, C.; Chen, J.; and Bi, J. 2021 · 2021
Cited alongside, same era.
Closest in time.
Han, L.; Ye, H.-J.; and Zhan, D.-C. 2023 · 2023
Closest in time.
Jin, M.; Koh, H. Y.; Wen, Q.; Zambon, D.; Alippi, C.; Webb, G. I.; King, I.; and Pan, S. 2023 · 2023
Closest in time.
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark And Solution
Li, F.; Feng, J.; Yan, H.; Jin, G.; Yang, F.; Sun, F.; Jin, D.; and Li, Y. 2023 · 2023
Closest in time.
Basicts: An Open Source Fair Multivariate Time Series Prediction Benchmark
Liang, Y.; Shao, Z.; Wang, F.; Zhang, Z.; Sun, T.; and Xu, Y. 2023 · 2023
Closest in time.
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Nie, Y.; H. Nguyen, N.; Sinthong, P.; and Kalagnanam, J. 2023 · 2023
Closest in time.
Spatio-temporal hierarchical MLP network for traffic forecasting
Qin, Y.; Luo, H.; Zhao, F.; Fang, Y.; Tao, X.; and Wang, C. 2023 · 2023
Closest in time.
A Decomposition Dynamic Graph Convolutional Recurrent Network for Traffic Forecasting
Weng, W.; Fan, J.; Wu, H.; Hu, Y.; Tian, H.; Zhu, F.; and Wu, J. 2023 · 2023
Closest in time.
Fits: Modeling Time Series with 10k Parameters
Xu, Z.; Zeng, A.; and Xu, Q. 2023 · 2023
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Are Transformers Effective for Time Series Forecasting?
Zeng, A.; Chen, M.; Zhang, L.; and Xu, Q. 2023 · 2023
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