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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Hauptverfasser:	Mohammad Hassan Mobini Seraji, Sami Shaffiee Haghshenas, Sina Shaffiee Haghshenas, Vladimir Simic, Dragan Pamucar, Giuseppe Guido, Vittorio Astarita
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2025-07-01
Schriftenreihe:	Complex & Intelligent Systems
Schlagworte:	Smart mobility Machine learning Driving behavior analysis Clustering and classification Intelligent transportation systems
Online-Zugang:	https://doi.org/10.1007/s40747-025-01988-5
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A state-of-the-art review on machine learning techniques for driving behavior analysis: clustering and classification approaches

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