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Prediction of Vehicle Fuel Consumption Model Based on Artificial Neural Network

Noraziah, Ahmad and Mohd Azhar, Mohd Amer and Abdalla, Ahmed N. and Ainul Azila, Che Fauzi (2014) Prediction of Vehicle Fuel Consumption Model Based on Artificial Neural Network. Applied Mechanics and Materials, 492. pp. 3-6. ISSN 1662-7482

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Abstract

With the increasing cost of fuel price minimizing fuel consumption is a major concern as far as sustainable engineering is concerned It is apparent that effective techniques for estimating fuel consumption costs are essential in order to avoid unnecessary fuel wastage and make use the most out of it In this paper an Artificial Neural Network (ANN) 2approach is used to fuel consumption model was proposed First few estimation calculator techniques have2 been briefly described Second the proposed optimization objective is to minimize the travel distance which is the corresponding to vehicle 2routing problem The neural network model has 5 input nodes at layer first which are representing engine size distance fuel type speed and passenger 15 nodes at hidden layer and one output node representing the fuel consumption costs. Finally calculations results are compared with other fuel model which indicate that estimation of fuel cost can be more accurate to optimize the fuel consumption usage accurate to optimize the fuel consumption usage.

Item Type: Article
Additional Information: Profesor Madya Dr. Ahmed N Abd Alla (A. N. Abdalla)
Uncontrolled Keywords: ANN Prediction; Cost Estimator; Fuel Consumption
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: PM Dr. Noraziah Ahmad
Date Deposited: 17 Sep 2014 03:17
Last Modified: 03 Oct 2018 07:39
URI: http://umpir.ump.edu.my/id/eprint/6622
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