Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Vehicle Emission Models and Traffic Simulators: A Review

Version 1 : Received: 19 April 2023 / Approved: 19 April 2023 / Online: 19 April 2023 (08:06:54 CEST)

A peer-reviewed article of this Preprint also exists.

Mądziel, M. Vehicle Emission Models and Traffic Simulators: A Review. Energies 2023, 16, 3941. Mądziel, M. Vehicle Emission Models and Traffic Simulators: A Review. Energies 2023, 16, 3941.

Abstract

Accurate estimation of vehicle emissions is essential and can be helpful in the decision-making process. Thanks to calculation methods, it is possible to accurately estimate the emissions that result from driving a car and to determine their impact on, for example, the health of pedestrians who are on the pavement near an arterial road. Recent years have seen an increase in the use and importance of emission models, as well as vehicle traffic simulation models. Increasingly, emission models are being combined with traffic simulation models, as it is not practical to actually measure the on-road emissions of an entire fleet of vehicles over a given stretch of road. This paper provides an overview of the selected work on the topic of emission modelling and vehicle traffic simulation models. The models are distinguished according to their respective scales of accuracy, i.e., micro, meso, and macro. Selected work combining emission and traffic simulation models is also presented, as well as development trends in the field. In particular, the paper also highlights the fact of proper calibration of vehicle traffic simulation models in order to obtain the most reliable vehicle emissions results from computational models. The review of the works carried out may be helpful for future projects concerning the use of simulation tools for transport and environmental decision-makers in the area of arterial roads.

Keywords

vehicles; emission modelling; traffic simulation; air pollution; emission compounds

Subject

Engineering, Transportation Science and Technology

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