Improving Driving Style in Connected Vehicles via Predicting Road Surface, Traffic, and Driving Style
Yahya Kadhim Jawad,
Mircea Nitulescu
Abstract:This paper investigates the application of ensemble learning in improving the accuracy and reliability of predictions in connected vehicle systems, focusing on driving style, road surface quality, and traffic conditions. Our study’s central methodology is the voting classifier ensemble method, which integrates predictions from multiple machine learning models to improve overall predictive performance. Specifically, the ensemble method combines insights from random forest, decision tree, and K-nearest neighbors… Show more
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