A bilinear interpolation model for estimating commercial vehicles' fuel consumption and exhaust emissions

In this paper, an estimation model based on bilinear interpolation of data from the EMEP/EEA air pollutant emission inventory guidebook database regarding fuel consumption and exhaust emissions of commercial vehicles in different operating conditions is developed. Depending on vehicle's average...

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Bibliographic Details
Published in:Sustainable futures 2023-12, Vol.5, p.100105, Article 100105
Main Authors: Stokić, Marko, Momčilović, Vladimir, Dimitrijević, Branka
Format: Article
Language:English
Subjects:
Estimation model
Fuel consumption
Pollutant emissions
Validation
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Summary:In this paper, an estimation model based on bilinear interpolation of data from the EMEP/EEA air pollutant emission inventory guidebook database regarding fuel consumption and exhaust emissions of commercial vehicles in different operating conditions is developed. Depending on vehicle's average speed, road slope and load factor, the model determines the fuel consumption and emissions for the observed vehicle type, category and emission standard. In order to validate the model, recordings on actual commercial vehicles were made in real operating conditions on two urban public transport bus lines in Belgrade. Comparison of the estimated and actual results from vehicle operation substantiate satisfactory validation of the model, making it suitable for logistics managers in operational and tactical planning as easy to use decision making tool allowing better sustainability and lower environmental footprint.
ISSN:2666-1888
2666-1888
DOI:10.1016/j.sftr.2023.100105