Predictive methods for CO 2 emissions and energy use in vehicles at intersections
Maksymilian Mądziel
Abstract:This study examines CO₂ emissions and vehicle energy consumption at high-traffic intersections in urban areas. Existing emission models at the macro, meso, and microscales often fail to accurately represent real traffic conditions, especially at intersections with frequent stop-and-go maneuvers. New predictive models were developed using methods such as linear regression, least absolute shrinkage and selection operator (LASSO), Ridge regression, Random Forest, and Extreme Gradient Boosting (XGBoost), with XGBo… Show more
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