Predictability of Vehicle Fuel Consumption Using LSTM: Findings from Field Experiments
Journal article, 2023
Real-world data
Fuel consumption prediction
Eco-driving
Test site data
FuelNet
Long short-term memory (LSTM) neural networks
Author
Guanqun Wang
Changan University
Licheng Zhang
Changan University
Zhigang Xu
Changan University
Runmin Wang
Changan University
Syeda Mahwish Hina
Changan University
Tao Wei
Ltd.
Xiaobo Qu
Chalmers, Architecture and Civil Engineering, Geology and Geotechnics
Ran Yang
Changan University
Journal of Transportation Engineering Part A: Systems
24732907 (ISSN) 24732893 (eISSN)
Vol. 149 5 04023030Subject Categories
Bioinformatics (Computational Biology)
Vehicle Engineering
Probability Theory and Statistics
DOI
10.1061/JTEPBS.TEENG-7643