Multimodal Learning for Traffic Risk Prediction: Combining Aerial Imagery With Contextual Data

Accurately predicting traffic risks at urban intersections is essential for improving road safety. While traditional models use data sources like road traffic conditions, geometry, and signals, they often miss the spatial interactions between road networks and buildings. This study introduces a mult...

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Bibliographic Details
Main Authors: Hanlin Tian, Yuxiang Feng, Mohammed Quddus, Yiannis Demiris, Panagiotis Angeloudis
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11017746/
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