crossrefMaterials2026-06-10
A Hybrid Machine Learning Approach to Energy Consumption and Road Emissions Modeling of CNG Vehicles Based on Chassis Dynamometer Data and Road Load Power
Artur Jaworski, Krzysztof Balawender, Hubert Kuszewski, Bożena Babiarz, Dariusz Szpica
This study presents a comparative analysis of energy consumption and gaseous emissions from a compressed natural gas (CNG)-fueled vehicle under real driving emissions (RDE) conditions and values predicted using machine learning (ML) models developed from chassis dynamometer data.…