Imagen de Portada

Multi-Modal Traffic Analysis: Integrating Time-Series Forecasting, Accident Prediction, and Image Classification

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	M, Nivedita, S, Yasmeen Shajitha
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis
por: Wu, Kebin, et al.
Publicado: (2024)

LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data
por: An, Bang, et al.
Publicado: (2024)

Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification
por: Zhang, Xu, et al.
Publicado: (2026)

An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction
por: Rifat, Md. Asif Khan, et al.
Publicado: (2024)

Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting
por: Green, Riku, et al.
Publicado: (2024)

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting
por: Chen, Peng, et al.
Publicado: (2025)

Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
por: Behboudi, Noushin, et al.
Publicado: (2024)

Copula Conformal Prediction for Multi-step Time Series Forecasting
por: Sun, Sophia, et al.
Publicado: (2022)

SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction
por: Gao, Xiaowei, et al.
Publicado: (2024)

CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting
por: Koumar, Josef, et al.
Publicado: (2024)

Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting
por: Wang, Hongjun, et al.
Publicado: (2025)

Hierarchical Classification Auxiliary Network for Time Series Forecasting
por: Sun, Yanru, et al.
Publicado: (2024)

T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion
por: Chowdhury, Abdul Monaf, et al.
Publicado: (2025)

TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting
por: Liu, Bowen, et al.
Publicado: (2026)

Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts
por: Wu, Wenfa, et al.
Publicado: (2025)

Hotspot Prediction of Severe Traffic Accidents in the Federal District of Brazil
por: Lima, Vinicius, et al.
Publicado: (2023)

Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networks
por: Tan, Xin, et al.
Publicado: (2024)

TEFL: Prediction-Residual-Guided Rolling Forecasting for Multi-Horizon Time Series
por: Huang, Xiannan, et al.
Publicado: (2026)

Multi-Modal Time Series Prediction via Mixture of Modulated Experts
por: Zhang, Lige, et al.
Publicado: (2026)

Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
por: Shen, ChengAo, et al.
Publicado: (2025)

An Analysis of Linear Time Series Forecasting Models
por: Toner, William, et al.
Publicado: (2024)

A Predictive Approach To Enhance Time-Series Forecasting
por: Gunasekaran, Skye, et al.
Publicado: (2024)

Improving Internet Traffic Matrix Prediction via Time Series Clustering
por: Cash, Martha, et al.
Publicado: (2025)

FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting
por: Zhang, Boya, et al.
Publicado: (2026)

Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers
por: Chakraborty, Sanjay, et al.
Publicado: (2025)

CaReTS: A Multi-Task Framework Unifying Classification and Regression for Time Series Forecasting
por: Yao, Fulong, et al.
Publicado: (2025)

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety
por: Özeren, Enes, et al.
Publicado: (2025)

Multi-layer Stack Ensembles for Time Series Forecasting
por: Bosch, Nathanael, et al.
Publicado: (2025)

Multi-variable Adversarial Time-Series Forecast Model
por: Chen, Xiaoqiao
Publicado: (2024)

Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave Prediction
por: Chekroun, Raphael, et al.
Publicado: (2024)

Conformal Prediction Algorithms for Time Series Forecasting: Methods and Benchmarking
por: Sabashvili, Andro
Publicado: (2026)

ResCP: Reservoir Conformal Prediction for Time Series Forecasting
por: Neglia, Roberto, et al.
Publicado: (2025)

Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting
por: Zhang, Yifan, et al.
Publicado: (2023)

Hybrid Predictive Modeling of Malaria Incidence in the Amhara Region, Ethiopia: Integrating Multi-Output Regression and Time-Series Forecasting
por: Azezew, Kassahun, et al.
Publicado: (2025)

MamNet: A Novel Hybrid Model for Time-Series Forecasting and Frequency Pattern Analysis in Network Traffic
por: Zhang, Yujun, et al.
Publicado: (2025)

Robust Multi-Modal Forecasting: Integrating Static and Dynamic Features
por: Qin, Jeremy
Publicado: (2025)

Using Causality for Enhanced Prediction of Web Traffic Time Series
por: Tian, Chang, et al.
Publicado: (2025)

Progressive Neural Network for Multi-Horizon Time Series Forecasting
por: Lin, Yang
Publicado: (2023)

Multi-resolution Time-Series Transformer for Long-term Forecasting
por: Zhang, Yitian, et al.
Publicado: (2023)

Dynamic Multi-period Experts for Online Time Series Forecasting
por: Hong, Seungha, et al.
Publicado: (2026)