Future Cities Carbon Emission Models: Hybrid Vehicle Emission Modelling for Low-Emission Zones

Maksymilian Mądziel ()
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Maksymilian Mądziel: Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, 35-959 Rzeszow, Poland

Energies, 2023, vol. 16, issue 19, 1-16

Abstract: Current emission models primarily focus on traditional combustion vehicles and may not accurately represent emissions from the increasingly diverse vehicle fleet. The growing presence of hybrid and electric vehicles requires the development of accurate emission models to measure the emissions and energy consumption of these vehicles. This issue is particularly relevant for low-emission zones within cities, where effective mobility planning relies on simulation models using continuously updated databases. This research presents a two-dimensional emission model for hybrid vehicles, employing artificial neural networks for low-emission zones. The key outcome is the methodology developed to create a CO 2 emission model tailored for hybrid vehicles, which can be used to simulate various road solutions. The CO 2 emission model achieved an R 2 coefficient of 0.73 and an MSE of 0.91, offering valuable information for further advancements in emission modelling.

Keywords: vehicles; emission modelling; traffic simulation; air pollution; future cities; neural network (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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