Error Adjustment Based on Spatiotemporal Correlation Fusion for Traffic Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Fuqiang, Ding, Weiping, Miranda-Moreno, Luis, Sun, Lijun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting
by: Liu, Fuqiang, et al.
Published: (2024)
by: Liu, Fuqiang, et al.
Published: (2024)
Incident-Guided Spatiotemporal Traffic Forecasting
by: Fan, Lixiang, et al.
Published: (2026)
by: Fan, Lixiang, et al.
Published: (2026)
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)
by: Wang, Hongjun, et al.
Published: (2024)
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
by: Cao, Lingxiao, et al.
Published: (2025)
by: Cao, Lingxiao, et al.
Published: (2025)
FUSE-Traffic: Fusion of Unstructured and Structured Data for Event-aware Traffic Forecasting
by: Yu, Chenyang, et al.
Published: (2025)
by: Yu, Chenyang, et al.
Published: (2025)
An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models
by: Li, Jinbo, et al.
Published: (2025)
by: Li, Jinbo, et al.
Published: (2025)
SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction
by: Gao, Xiaowei, et al.
Published: (2024)
by: Gao, Xiaowei, et al.
Published: (2024)
Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting
by: Ali, Khalid, et al.
Published: (2025)
by: Ali, Khalid, et al.
Published: (2025)
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting
by: Liu, Zhanyu, et al.
Published: (2024)
by: Liu, Zhanyu, et al.
Published: (2024)
Local Truncation Error-Guided Neural ODEs for Large Scale Traffic Forecasting
by: Zhang, Xiao, et al.
Published: (2026)
by: Zhang, Xiao, et al.
Published: (2026)
Spatiotemporal Decision Transformer for Traffic Coordination
by: Su, Haoran, et al.
Published: (2026)
by: Su, Haoran, et al.
Published: (2026)
Collaborative Deterministic-Probabilistic Forecasting for Diverse Spatiotemporal Systems
by: Sheng, Zhi, et al.
Published: (2025)
by: Sheng, Zhi, et al.
Published: (2025)
Generalising Traffic Forecasting to Regions without Traffic Observations
by: Su, Xinyu, et al.
Published: (2025)
by: Su, Xinyu, et al.
Published: (2025)
Correlating Time Series with Interpretable Convolutional Kernels
by: Chen, Xinyu, et al.
Published: (2024)
by: Chen, Xinyu, et al.
Published: (2024)
Federated Learning with Graph-Based Aggregation for Traffic Forecasting
by: Banik, Audri, et al.
Published: (2025)
by: Banik, Audri, et al.
Published: (2025)
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting
by: Wang, Rushan, et al.
Published: (2024)
by: Wang, Rushan, et al.
Published: (2024)
Revealing the Power of Masked Autoencoders in Traffic Forecasting
by: Sun, Jiarui, et al.
Published: (2023)
by: Sun, Jiarui, et al.
Published: (2023)
Nearest Neighbor Multivariate Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)
by: Zhang, Huiliang, et al.
Published: (2025)
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting
by: Liu, Zhanyu, et al.
Published: (2024)
by: Liu, Zhanyu, et al.
Published: (2024)
Bridge: Retrieval-Augmented Spatiotemporal Modeling for Urban Delivery Demand
by: Tang, Yihong, et al.
Published: (2026)
by: Tang, Yihong, et al.
Published: (2026)
Laplacian Convolutional Representation for Traffic Time Series Imputation
by: Chen, Xinyu, et al.
Published: (2022)
by: Chen, Xinyu, et al.
Published: (2022)
Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning
by: Chu, Xu, et al.
Published: (2025)
by: Chu, Xu, et al.
Published: (2025)
A Causality-Aware Spatiotemporal Model for Multi-Region and Multi-Pollutant Air Quality Forecasting
by: Lu, Junxin, et al.
Published: (2025)
by: Lu, Junxin, et al.
Published: (2025)
Efficient Prompt Learning for Traffic Forecasting
by: Zhang, Qianru, et al.
Published: (2026)
by: Zhang, Qianru, et al.
Published: (2026)
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
by: Zhang, Weijia, et al.
Published: (2023)
by: Zhang, Weijia, et al.
Published: (2023)
Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
by: Liu, Aoyu, et al.
Published: (2022)
by: Liu, Aoyu, et al.
Published: (2022)
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)
by: Wang, Hongjun, et al.
Published: (2024)
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
by: Liu, Zibo, et al.
Published: (2024)
by: Liu, Zibo, et al.
Published: (2024)
Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models
by: Wu, Hao, et al.
Published: (2025)
by: Wu, Hao, et al.
Published: (2025)
STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting
by: Zhao, Zhengyang, et al.
Published: (2024)
by: Zhao, Zhengyang, et al.
Published: (2024)
S^2-KD: Semantic-Spectral Knowledge Distillation Spatiotemporal Forecasting
by: Wang, Wenshuo, et al.
Published: (2025)
by: Wang, Wenshuo, et al.
Published: (2025)
Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling
by: Zhang, Zhiguo, et al.
Published: (2025)
by: Zhang, Zhiguo, et al.
Published: (2025)
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
by: Marisca, Ivan, et al.
Published: (2024)
by: Marisca, Ivan, et al.
Published: (2024)
Rethinking Traffic Flow Forecasting: From Transition to Generatation
by: Shijiao, Li, et al.
Published: (2025)
by: Shijiao, Li, et al.
Published: (2025)
Embracing Large Language Models in Traffic Flow Forecasting
by: Zhao, Yusheng, et al.
Published: (2024)
by: Zhao, Yusheng, et al.
Published: (2024)
Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware
by: Liu, Chaoqun, et al.
Published: (2024)
by: Liu, Chaoqun, et al.
Published: (2024)
Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls
by: Gao, Can, et al.
Published: (2025)
by: Gao, Can, et al.
Published: (2025)
Hybrid Quantum-Classical Spatiotemporal Forecasting for 3D Cloud Fields
by: Wang, Fu, et al.
Published: (2026)
by: Wang, Fu, et al.
Published: (2026)
Multivariate Probabilistic Time Series Forecasting with Correlated Errors
by: Zheng, Vincent Zhihao, et al.
Published: (2024)
by: Zheng, Vincent Zhihao, et al.
Published: (2024)
Efficient Traffic Forecasting on Large-Scale Road Network by Regularized Adaptive Graph Convolution
by: Wu, Kaiqi, et al.
Published: (2025)
by: Wu, Kaiqi, et al.
Published: (2025)
Similar Items
-
Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting
by: Liu, Fuqiang, et al.
Published: (2024) -
Incident-Guided Spatiotemporal Traffic Forecasting
by: Fan, Lixiang, et al.
Published: (2026) -
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024) -
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
by: Cao, Lingxiao, et al.
Published: (2025) -
FUSE-Traffic: Fusion of Unstructured and Structured Data for Event-aware Traffic Forecasting
by: Yu, Chenyang, et al.
Published: (2025)