LAPSE:2023.35878
Published Article
LAPSE:2023.35878
Vehicle Emission Models and Traffic Simulators: A Review
May 24, 2023
Accurate estimations and assessments of vehicle emissions can support decision-making processes. Current emission estimation tools involve several calculation methods that provide estimates of the exhaust components that result from driving on urban arterial roads. This is an important consideration, as the emissions generated have a direct impact on the health of pedestrians near the roads. In recent years, there has been an increase in the use of emission models, especially in combination with traffic simulator models. This is because it is very difficult to obtain an actual measurement of road emissions for all vehicles travelling along the analysed road section. This paper concerns a review of selected traffic simulations and the estimation of exhaust gas components models. The models presented have been aggregated into a group with respect to their scale of accuracy as micro, meso, and macro. This paper also presents an overview of selected works that combine both traffic and emission models. The presented literature review also emphasises the proper calibration process of simulation models as the most important factor in obtaining accurate estimates. This work also contains information and recommendations on modelling that may be helpful in selecting appropriate emission estimation tools to support decision-making processes for, e.g., road managers.
Keywords
air pollution, emission compounds, emission modelling, traffic simulation, vehicles
Suggested Citation
Mądziel M. Vehicle Emission Models and Traffic Simulators: A Review. (2023). LAPSE:2023.35878
Author Affiliations
Mądziel M: Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, 35-959 Rzeszow, Poland [ORCID]
Journal Name
Energies
Volume
16
Issue
9
First Page
3941
Year
2023
Publication Date
2023-05-07
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16093941, Publication Type: Review
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LAPSE:2023.35878
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doi:10.3390/en16093941
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May 24, 2023
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CC BY 4.0
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[v1] (Original Submission)
May 24, 2023
 
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May 24, 2023
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Original Submitter
Calvin Tsay
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