A Neuro-Fuzzy Approach for Vehicle Fuel Consumption Prediction
Abstract
Keywords
Full Text:
PDFReferences
K. Ahn, H. Rakha, A. Trani, M. Van-Aerde, (2001), “Estimating Vehicle Fuel Consumption and Emissions Based on Instantaneous Speed and Acceleration Levels”, IEEE Pappers, New York.
J. Kropiwnicki, (2002), “The Possibilities of Using of The Engine Multidimensional Characteristic in Fuel Consumption Prediction”, Journal of KONES Internal Combustion Engines 2002 No. 1-2.
L.L. Ojeda, A. Chasse, R. Goussault, (2017), “Fuel consumption prediction for heavy-duty vehicles using digital maps,” 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Yokohama, Japan, 16-19 Oct. 2017.
H. Yang, H. Rakha, M.V. Ala, (2017), “Eco-Cooperative Adaptive Cruise Control at Signalized Intersections Considering Queue Effects,” IEEE Transactions on Intelligent Transportation Systems, Vol. 18, No. 6, June 2017, pp. 1575 – 1585.
J.S.R. Jang, (1993), "ANFIS: Adaptive-Network-based Fuzzy Inference System", IEEE Trans. Syst., Man, Cybern., 23, 665-685, June.
R. Syahputra, (2012), “Fuzzy Multi-Objective Approach for the Improvement of Distribution Network Efficiency by Considering DG”, IJCSIT, Vol. 4, No. 2, pp. 57-68.
J.S. Wang, C.S.G. Lee, (2002), "Self-Adaptive Neuro-Fuzzy Inference Systems for Classification Applications", IEEE Trans. on Fuzzy Systems, 10, 6, Dec, 2002.
DOI: https://doi.org/10.18196/jet.2339
Refbacks
- There are currently no refbacks.
Copyright (c) 2018 Journal of Electrical Technology UMY
Office Address:
Journal of Electrical Technology UMY
Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta
Jl. Brawijaya, Kasihan, Bantul, Daerah Istimewa Yogyakarta
Phone/Fax: +62274-387656/ +62274-387646,
E-mail: jet@umy.university
Journal of Electrical Technology UMY is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.