Image de couverture de livre

From Time Series to State: Situation-Aware Modeling for Air Traffic Flow Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Anqi, Zhao, Jiangtao, Jiang, Guiyuan, Hong, Feng, Yu, Yanwei, Wang, Bin
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
par: Cao, Lingxiao, et autres
Publié: (2025)

Unlocking air traffic flow prediction through microscopic aircraft-state modeling
par: Wang, Bin, et autres
Publié: (2026)

Learning to Explain Air Traffic Situation
par: Chai, Hong-ah, et autres
Publié: (2025)

Non-collective Calibrating Strategy for Time Series Forecasting
par: Wang, Bin, et autres
Publié: (2025)

TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation
par: Zhang, Xiao, et autres
Publié: (2025)

PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
par: Jiang, Jiawei, et autres
Publié: (2023)

Scalable Trajectory-User Linking with Dual-Stream Representation Networks
par: Zhang, Hao, et autres
Publié: (2025)

Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting
par: Liu, Zhanyu, et autres
Publié: (2024)

Dataset Condensation for Time Series Classification via Dual Domain Matching
par: Liu, Zhanyu, et autres
Publié: (2024)

Hindsight Preference Optimization for Financial Time Series Advisory
par: Cui, Yanwei, et autres
Publié: (2026)

STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
par: Ji, Jiahao, et autres
Publié: (2022)

Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networks
par: Tan, Xin, et autres
Publié: (2024)

Improving Internet Traffic Matrix Prediction via Time Series Clustering
par: Cash, Martha, et autres
Publié: (2025)

Towards Explainable Traffic Flow Prediction with Large Language Models
par: Guo, Xusen, et autres
Publié: (2024)

MSTIM: A MindSpore-Based Model for Traffic Flow Prediction
par: Qin, Weiqi, et autres
Publié: (2025)

From Observations to States: Latent Time Series Forecasting
par: Yang, Jie, et autres
Publié: (2026)

Towards Stable and Structured Time Series Generation with Perturbation-Aware Flow Matching
par: Zhang, Jintao, et autres
Publié: (2025)

Meta Dynamic Graph for Traffic Flow Prediction
par: Zou, Yiqing, et autres
Publié: (2026)

Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions
par: Bogdoll, Daniel, et autres
Publié: (2024)

Top-$k$ Classification and Cardinality-Aware Prediction
par: Mao, Anqi, et autres
Publié: (2024)

Evaluating Frontier Models for Stealth and Situational Awareness
par: Phuong, Mary, et autres
Publié: (2025)

Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching
par: Xu, Huibo, et autres
Publié: (2025)

DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series
par: Wu, Dongze, et autres
Publié: (2025)

Fuzzy Cluster-Aware Contrastive Clustering for Time Series
par: Wang, Congyu, et autres
Publié: (2025)

Using Causality for Enhanced Prediction of Web Traffic Time Series
par: Tian, Chang, et autres
Publié: (2025)

PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
par: Zhang, Junru, et autres
Publié: (2026)

Ada-TransGNN: An Air Quality Prediction Model Based On Adaptive Graph Convolutional Networks
par: Wang, Dan, et autres
Publié: (2025)

Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling
par: Zhao, Sinong, et autres
Publié: (2024)

Trajeglish: Traffic Modeling as Next-Token Prediction
par: Philion, Jonah, et autres
Publié: (2023)

IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting
par: Fan, Wei, et autres
Publié: (2024)

Flow-based Conformal Prediction for Multi-dimensional Time Series
par: Lee, Junghwan, et autres
Publié: (2025)

CoRA: Covariate-Aware Adaptation of Time Series Foundation Models
par: Qin, Guo, et autres
Publié: (2025)

FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting
par: Wu, Xingjian, et autres
Publié: (2025)

FAST: A Synergistic Framework of Attention and State-space Models for Spatiotemporal Traffic Prediction
par: Li, Xinjin, et autres
Publié: (2026)

TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
par: Jiang, Yushan, et autres
Publié: (2025)

Traffic and Safety Rule Compliance of Humans in Diverse Driving Situations
par: Kurenkov, Michael, et autres
Publié: (2024)

Handling Weather Uncertainty in Air Traffic Prediction through an Inverse Approach
par: Lancia, G., et autres
Publié: (2025)

Multi-Modal Traffic Analysis: Integrating Time-Series Forecasting, Accident Prediction, and Image Classification
par: M, Nivedita, et autres
Publié: (2025)

Long Range Switching Time Series Prediction via State Space Model
par: Zhang, Jiaming, et autres
Publié: (2024)

Quantum-Optimized Selective State Space Model for Efficient Time Series Prediction
par: Jura, Stefan-Alexandru, et autres
Publié: (2025)