Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter
Fuente:
arXiv
Saved in:
| Main Authors: | Xiong, Xi, Ozbay, Kaan, Jin, Li, Feng, Chen |
|---|---|
| Format: | Preprint |
| Published: |
2019
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning When to See for Long-term Traffic Data Collection on Power-constrained Devices
by: Zhang, Ruixuan, et al.
Published: (2024)
by: Zhang, Ruixuan, et al.
Published: (2024)
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
by: Frauenknecht, Bernd, et al.
Published: (2026)
by: Frauenknecht, Bernd, et al.
Published: (2026)
Neural Augmented Kalman Filters for Road Network assisted GNSS positioning
by: van Gorp, Hans, et al.
Published: (2025)
by: van Gorp, Hans, et al.
Published: (2025)
Inverse Unscented Kalman Filter
by: Singh, Himali, et al.
Published: (2023)
by: Singh, Himali, et al.
Published: (2023)
Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning
by: Li, Tao, et al.
Published: (2024)
by: Li, Tao, et al.
Published: (2024)
Outlier-robust Kalman Filtering through Generalised Bayes
by: Duran-Martin, Gerardo, et al.
Published: (2024)
by: Duran-Martin, Gerardo, et al.
Published: (2024)
AI-Aided Kalman Filters
by: Shlezinger, Nir, et al.
Published: (2024)
by: Shlezinger, Nir, et al.
Published: (2024)
Online Learning of Kalman Filtering: From Output to State Estimation
by: Ye, Lintao, et al.
Published: (2026)
by: Ye, Lintao, et al.
Published: (2026)
OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering
by: Schperberg, Alexander, et al.
Published: (2024)
by: Schperberg, Alexander, et al.
Published: (2024)
Pricing is All You Need to Improve Traffic Routing
by: Tang, Yu, et al.
Published: (2025)
by: Tang, Yu, et al.
Published: (2025)
Cascading Blackout Severity Prediction with Statistically-Augmented Graph Neural Networks
by: Gorka, Joe, et al.
Published: (2024)
by: Gorka, Joe, et al.
Published: (2024)
Sigma-point Kalman Filter with Nonlinear Unknown Input Estimation via Optimization and Data-driven Approach for Dynamic Systems
by: Loo, Junn Yong, et al.
Published: (2023)
by: Loo, Junn Yong, et al.
Published: (2023)
Power Failure Cascade Prediction using Graph Neural Networks
by: Chadaga, Sathwik, et al.
Published: (2024)
by: Chadaga, Sathwik, et al.
Published: (2024)
Dual Unscented Kalman Filter Architecture for Sensor Fusion in Water Networks Leak Localization
by: Romero-Ben, Luis, et al.
Published: (2024)
by: Romero-Ben, Luis, et al.
Published: (2024)
Pontryagin Optimal Control via Neural Networks
by: Gu, Chengyang, et al.
Published: (2022)
by: Gu, Chengyang, et al.
Published: (2022)
Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
by: Authier, Jules, et al.
Published: (2023)
by: Authier, Jules, et al.
Published: (2023)
Assumed Density Filtering and Smoothing with Neural Network Surrogate Models
by: Kuang, Simon, et al.
Published: (2025)
by: Kuang, Simon, et al.
Published: (2025)
Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow
by: Pham, Thuan, et al.
Published: (2024)
by: Pham, Thuan, et al.
Published: (2024)
Reduced Optimal Power Flow Using Graph Neural Network
by: Pham, Thuan, et al.
Published: (2022)
by: Pham, Thuan, et al.
Published: (2022)
Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement
by: Jin, Hongwei, et al.
Published: (2024)
by: Jin, Hongwei, et al.
Published: (2024)
Parameter Stress Analysis in Reinforcement Learning: Applying Synaptic Filtering to Policy Networks
by: Abdeen, Zain ul, et al.
Published: (2025)
by: Abdeen, Zain ul, et al.
Published: (2025)
A Graph Neural Network with Auxiliary Task Learning for Missing PMU Data Reconstruction
by: Li, Bo, et al.
Published: (2025)
by: Li, Bo, et al.
Published: (2025)
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
by: Orfanoudakis, Stavros, et al.
Published: (2025)
by: Orfanoudakis, Stavros, et al.
Published: (2025)
Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret
by: Qian, Jiachen, et al.
Published: (2025)
by: Qian, Jiachen, et al.
Published: (2025)
Robust Automatic Differentiation of Square-Root Kalman Filters via Gramian Differentials
by: Corenflos, Adrien
Published: (2026)
by: Corenflos, Adrien
Published: (2026)
Graph Neural Networks in Wind Power Forecasting
by: Castellano, Javier, et al.
Published: (2025)
by: Castellano, Javier, et al.
Published: (2025)
Frequency-Separable Hamiltonian Neural Network for Multi-Timescale Dynamics
by: Li, Yaojun, et al.
Published: (2026)
by: Li, Yaojun, et al.
Published: (2026)
Dynamic Line Rating using Hyper-local Weather Predictions: A Machine Learning Approach
by: Manninen, Henri, et al.
Published: (2024)
by: Manninen, Henri, et al.
Published: (2024)
Learning and Current Prediction of PMSM Drive via Differential Neural Networks
by: Mei, Wenjie, et al.
Published: (2024)
by: Mei, Wenjie, et al.
Published: (2024)
Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies
by: Cao, John, et al.
Published: (2025)
by: Cao, John, et al.
Published: (2025)
N-1 Reduced Optimal Power Flow Using Augmented Hierarchical Graph Neural Network
by: Pham, Thuan, et al.
Published: (2024)
by: Pham, Thuan, et al.
Published: (2024)
Learning-Based Adaptive Dynamic Routing with Stability Guarantee for a Single-Origin-Single-Destination Network
by: Wu, Yidan, et al.
Published: (2024)
by: Wu, Yidan, et al.
Published: (2024)
Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable Linear State Estimation with PMUs
by: Kundacina, Ognjen, et al.
Published: (2023)
by: Kundacina, Ognjen, et al.
Published: (2023)
Peer-to-Peer Learning Dynamics of Wide Neural Networks
by: Chaudhari, Shreyas, et al.
Published: (2024)
by: Chaudhari, Shreyas, et al.
Published: (2024)
BVE + EKF: A viewpoint estimator for the estimation of the object's position in the 3D task space using Extended Kalman Filters
by: Magalhães, Sandro Costa, et al.
Published: (2024)
by: Magalhães, Sandro Costa, et al.
Published: (2024)
Improving Spatial Allocation for Energy System Coupling with Graph Neural Networks
by: Mu, Xuanhao, et al.
Published: (2026)
by: Mu, Xuanhao, et al.
Published: (2026)
Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting
by: Pham, Thuan, et al.
Published: (2024)
by: Pham, Thuan, et al.
Published: (2024)
Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network
by: Sun, Peiyuan, et al.
Published: (2022)
by: Sun, Peiyuan, et al.
Published: (2022)
Enhancing Precision in Tactile Internet-Enabled Remote Robotic Surgery: Kalman Filter Approach
by: Lashari, Muhammad Hanif, et al.
Published: (2024)
by: Lashari, Muhammad Hanif, et al.
Published: (2024)
Symptom-Driven Personalized Proton Pump Inhibitors Therapy Using Bayesian Neural Networks and Model Predictive Control
by: Li, Yutong, et al.
Published: (2025)
by: Li, Yutong, et al.
Published: (2025)
Similar Items
-
Learning When to See for Long-term Traffic Data Collection on Power-constrained Devices
by: Zhang, Ruixuan, et al.
Published: (2024) -
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
by: Frauenknecht, Bernd, et al.
Published: (2026) -
Neural Augmented Kalman Filters for Road Network assisted GNSS positioning
by: van Gorp, Hans, et al.
Published: (2025) -
Inverse Unscented Kalman Filter
by: Singh, Himali, et al.
Published: (2023) -
Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning
by: Li, Tao, et al.
Published: (2024)