Abstract
This publication presents a multi-faceted analysis of the fuel consumption of motor vehicles and the way human impacts the environment, with a particular emphasis on the passenger cars. The adopted research methodology is based on the use of artificial neural networks in order to create a predictive model on the basis of which fuel consumption of motor vehicles can be determined. A database containing 1750 records, being a set of information on vehicles manufactured in last decade, was used in the process of training the artificial neural networks. The MLP (Multi-Layer Perceptron) 22-10-3 network has been selected from the created neural networks, which was further subjected to an analysis. In order to determine if the predicted values match the real values, the linear Pearson correlation coefficient r and coefficient of determination R2 were used. For the MLP 22-10-3 neural network, the calculated coefficient r was within range 0.93–0.95, while the coefficient of determination R2 assumed a satisfactory value of more than 0.98. Furthermore, a sensitivity analysis of the predictive model was performed, determining the influence of each input variable on prediction accuracy. Then, a neural network with a reduced number of neurons in the input layer (MLP-20-10-3) was built, retaining a quantity of the hidden and output neurons and the activation functions of the individual layers. The MLP 20-10-3 neural network uses similar values of the r and R2 coefficients as the MLP 22-10-3 neural network. For the evaluation of both neural networks, the measures of the ex post prediction errors were used. Depending on the predicted variable, the MAPE errors for the validation sets reached satisfactory values in the range of 5–8% for MLP 22-10-3 and 6–10% for MLP 20-10-3 neural network, respectively. The prediction tool described is intended for the design of passenger cars equipped with internal combustion engines.
Highlights
The fuel consumption of motor vehicles powered by internal combustion engines unchangeably constitutes an essential issue in forming the development trends of the automotive industry, but is an important factor in the economics of transport [1,2,3,4]
The analyses focused on the area of research related to engine performance, fuel consumption and the emissions of chemical compounds from compression ignition engines
This publication brings up the research problem of the prediction of the fuel consumption of motor vehicles equipped with internal combustion engines
Summary
The fuel consumption of motor vehicles powered by internal combustion engines unchangeably constitutes an essential issue in forming the development trends of the automotive industry, but is an important factor in the economics of transport [1,2,3,4].On the basis of the analysis of a set of the research papers, this problem is certainly a complex issue and must be considered as a many-faceted one. The fuel consumption of motor vehicles powered by internal combustion engines unchangeably constitutes an essential issue in forming the development trends of the automotive industry, but is an important factor in the economics of transport [1,2,3,4]. Climate change and the degradation of the natural environment, related to the human and industrial activities, are an aetiology of an ecological approach to the processes of the consumption of petroleum-based fuels in vehicles powered by internal combustion engines [9,10,11]. The objective of the successive tightening up of the exhaust emission standards is to reduce the air pollution caused by vehicles powered by internal combustion engines, especially in large urban agglomerations [12].
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