publication . Article . 2016

Prediction of passenger car fuel consumption using artificial neural network: A case study in the city of Niš

Predić, Bratislav; Madić, Miloš; Roganović, Miloš; Kovačević, Marko; Stojanović, Dragan;
Open Access English
  • Published: 01 Jan 2016 Journal: Facta universitatis - series: Automatic Control and Robotics (issn: 1820-6417, Copyright policy)
The reduction of CO2 emission which is in direct relationship with fuel consumption is of prime importance for the future sustainable use of passenger cars. For the given passenger car, the fuel consumption in urban areas is mostly affected by the conditions related to traffic and driving behavior. In this paper, an artificial neural network model for the prediction of passenger car fuel consumption in the City of Niš was developed based on experimentally measured data recorded through on-board diagnostics equipment. Fuel consumption was assumed to be a function of car speed, a city zone, an hour of day and a day of week. A comprehensive preliminary investigatio...
free text keywords: fuel consumption, OBD-II, modeling, prediction, artificial neural network
Funded by
MESTD| Studying climate change and its influence on environment: impacts, adaptation and mitigation
  • Funder: Ministry of Education, Science and Technological Development of Republic of Serbia (MESTD)
  • Project Code: 43007
  • Funding stream: Integrated and Interdisciplinary Research (IIR or III)
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