Analyzing the Effectiveness of Imbalanced Data Handling Techniques in Predicting Driver Phone Use

Distracted driving leads to a significant number of road crashes worldwide. Smartphone use is one of the most common causes of cognitive distraction among drivers. Available data on drivers’ phone use presents an invaluable opportunity to identify the main factors behind this behavior. Machine learn...

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Veröffentlicht in:	Sustainability 2023-07, Vol.15 (13), p.10668
Hauptverfasser:	Taamneh, Madhar M, Taamneh, Salah, Alomari, Ahmad H, Abuaddous, Musab
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Automobile drivers Bayesian analysis Classification Datasets Decision trees Deep learning Machine learning Mathematical models Methods Multilayer perceptrons Neural networks Performance evaluation Roads Sampling techniques Seat belts Smartphones Support vector machines Surface properties Sustainability Traffic accidents & safety
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