Probabilistic Traffic Forecasting with Dynamic Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Vincent Zhihao, Choi, Seongjin, Sun, Lijun |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting
by: Choi, Seongjin, et al.
Published: (2022)
by: Choi, Seongjin, et al.
Published: (2022)
Better Batch for Deep Probabilistic Time Series Forecasting
by: Zheng, Vincent Zhihao, et al.
Published: (2023)
by: Zheng, Vincent Zhihao, et al.
Published: (2023)
Multivariate Probabilistic Time Series Forecasting with Correlated Errors
by: Zheng, Vincent Zhihao, et al.
Published: (2024)
by: Zheng, Vincent Zhihao, et al.
Published: (2024)
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting
by: Zheng, Vincent Zhihao, et al.
Published: (2024)
by: Zheng, Vincent Zhihao, et al.
Published: (2024)
Dynamic Modes as Time Representation for Spatiotemporal Forecasting
by: Kong, Menglin, et al.
Published: (2025)
by: Kong, Menglin, et al.
Published: (2025)
Frequency-Constrained Learning for Long-Term Forecasting
by: Kong, Menglin, et al.
Published: (2025)
by: Kong, Menglin, et al.
Published: (2025)
Weaver: Kronecker Product Approximations of Spatiotemporal Attention for Traffic Network Forecasting
by: Cheong, Christopher, et al.
Published: (2025)
by: Cheong, Christopher, et al.
Published: (2025)
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control
by: Jiang, Sicong, et al.
Published: (2024)
by: Jiang, Sicong, et al.
Published: (2024)
Toward Safe Integration of UAM in Terminal Airspace: UAM Route Feasibility Assessment using Probabilistic Aircraft Trajectory Prediction
by: Cho, Jungwoo, et al.
Published: (2025)
by: Cho, Jungwoo, et al.
Published: (2025)
Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment
by: Min, Donggyu, et al.
Published: (2025)
by: Min, Donggyu, et al.
Published: (2025)
Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting
by: Liu, Fuqiang, et al.
Published: (2024)
by: Liu, Fuqiang, et al.
Published: (2024)
Beyond coauthorship: semantic structure and phantom collaborators in transportation research, 1967--2025
by: Choi, Seongjin
Published: (2026)
by: Choi, Seongjin
Published: (2026)
Overcoming the Modality Gap in Context-Aided Forecasting
by: Zheng, Vincent Zhihao, et al.
Published: (2026)
by: Zheng, Vincent Zhihao, et al.
Published: (2026)
A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research
by: Choi, Seongjin, et al.
Published: (2024)
by: Choi, Seongjin, et al.
Published: (2024)
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing Flows
by: Kosieradzki, Mitch, et al.
Published: (2025)
by: Kosieradzki, Mitch, et al.
Published: (2025)
Error Adjustment Based on Spatiotemporal Correlation Fusion for Traffic Forecasting
by: Liu, Fuqiang, et al.
Published: (2025)
by: Liu, Fuqiang, et al.
Published: (2025)
PMA-Diffusion: A Physics-guided Mask-Aware Diffusion Framework for TSE from Sparse Observations
by: Liu, Lindong, et al.
Published: (2025)
by: Liu, Lindong, et al.
Published: (2025)
Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting
by: Xiong, Weijiang, et al.
Published: (2026)
by: Xiong, Weijiang, et al.
Published: (2026)
Link Representation Learning for Probabilistic Travel Time Estimation
by: Xu, Chen, et al.
Published: (2024)
by: Xu, Chen, et al.
Published: (2024)
SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimation
by: Xu, Chen, et al.
Published: (2024)
by: Xu, Chen, et al.
Published: (2024)
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting
by: Lin, Lequan, et al.
Published: (2024)
by: Lin, Lequan, et al.
Published: (2024)
Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression
by: Lei, Mengying, et al.
Published: (2021)
by: Lei, Mengying, et al.
Published: (2021)
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting
by: Liang, Daojun, et al.
Published: (2024)
by: Liang, Daojun, et al.
Published: (2024)
Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics
by: Zhang, Enming, et al.
Published: (2025)
by: Zhang, Enming, et al.
Published: (2025)
Probabilistic Pretraining for Neural Regression
by: Oreshkin, Boris N., et al.
Published: (2025)
by: Oreshkin, Boris N., et al.
Published: (2025)
Ensembles of Probabilistic Regression Trees
by: Seiller, Alexandre, et al.
Published: (2024)
by: Seiller, Alexandre, et al.
Published: (2024)
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting
by: Liu, Qingxiang, et al.
Published: (2024)
by: Liu, Qingxiang, et al.
Published: (2024)
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)
Unemployment Dynamics Forecasting with Machine Learning Regression Models
by: Kim, Kyungsu
Published: (2025)
by: Kim, Kyungsu
Published: (2025)
Revealing the Power of Masked Autoencoders in Traffic Forecasting
by: Sun, Jiarui, et al.
Published: (2023)
by: Sun, Jiarui, et al.
Published: (2023)
Vision-LLMs for Spatiotemporal Traffic Forecasting
by: Yang, Ning, et al.
Published: (2025)
by: Yang, Ning, et al.
Published: (2025)
MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model
by: Fan, Xu, et al.
Published: (2025)
by: Fan, Xu, et al.
Published: (2025)
Calibrated Probabilistic Forecasts for Arbitrary Sequences
by: Marx, Charles, et al.
Published: (2024)
by: Marx, Charles, et al.
Published: (2024)
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale
by: Nie, Tong, et al.
Published: (2023)
by: Nie, Tong, et al.
Published: (2023)
Probabilistic Calibration by Design for Neural Network Regression
by: Dheur, Victor, et al.
Published: (2024)
by: Dheur, Victor, et al.
Published: (2024)
Generalising Traffic Forecasting to Regions without Traffic Observations
by: Su, Xinyu, et al.
Published: (2025)
by: Su, Xinyu, et al.
Published: (2025)
Nearest Neighbor Multivariate Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)
by: Zhang, Huiliang, et al.
Published: (2025)
Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
by: Liu, Aoyu, et al.
Published: (2022)
by: Liu, Aoyu, et al.
Published: (2022)
Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
by: Yang, Yanfeng, et al.
Published: (2025)
by: Yang, Yanfeng, et al.
Published: (2025)
Traffic State Estimation from Vehicle Trajectories with Anisotropic Gaussian Processes
by: Wu, Fan, et al.
Published: (2023)
by: Wu, Fan, et al.
Published: (2023)
Similar Items
-
Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting
by: Choi, Seongjin, et al.
Published: (2022) -
Better Batch for Deep Probabilistic Time Series Forecasting
by: Zheng, Vincent Zhihao, et al.
Published: (2023) -
Multivariate Probabilistic Time Series Forecasting with Correlated Errors
by: Zheng, Vincent Zhihao, et al.
Published: (2024) -
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting
by: Zheng, Vincent Zhihao, et al.
Published: (2024) -
Dynamic Modes as Time Representation for Spatiotemporal Forecasting
by: Kong, Menglin, et al.
Published: (2025)