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Driving Risk Classification Using Fuzzy C-Means and Classification Algorithms on NGSIM Trajectory Data

Aslantas, Meltem et al.
Springer Nature OA · Papers
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engineeringpublic-policysustainable-development
Early identification of risky driving behaviors is crucial for enhancing safety systems and advanced driver assistance technologies. A significant portion of traffic accidents, particularly under congested traffic conditions, arises from high-risk driving patterns that are not detected in time. This
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