A state-of-the-art review on machine learning techniques for driving behavior analysis: clustering and classification approaches

A state-of-the-art review on machine learning techniques for driving behavior analysis: clustering and classification approaches

Abstract Smart mobility has ushered in advanced sensing technologies. These, together with high‑level data analytics, are revolutionizing how we analyze driving behavior. Excellent performance in dealing with real-world, high-technology complexities for machine learning has made wide enthusiasm to u...

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Bibliographic Details
Main Authors: Mohammad Hassan Mobini Seraji, Sami Shaffiee Haghshenas, Sina Shaffiee Haghshenas, Vladimir Simic, Dragan Pamucar, Giuseppe Guido, Vittorio Astarita
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Complex & Intelligent Systems
Subjects:
Smart mobility
Machine learning
Driving behavior analysis
Clustering and classification
Intelligent transportation systems
Online Access:https://doi.org/10.1007/s40747-025-01988-5
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