A review of the data-driven prediction method of vehicle fuel consumption
D Zhao, H Li, J Hou, P Gong, Y Zhong, W He, Z Fu - Energies, 2023 - mdpi.com
Accurately and efficiently predicting the fuel consumption of vehicles is the key to improving
their fuel economy. This paper provides a comprehensive review of data-driven fuel …
their fuel economy. This paper provides a comprehensive review of data-driven fuel …
A review of applications of artificial intelligence in heavy duty trucks
Due to the increasing use of automobiles, the transportation industry is facing challenges of
increased emissions, driver safety concerns, travel demand, etc. Hence, automotive …
increased emissions, driver safety concerns, travel demand, etc. Hence, automotive …
Real-time vehicular fuel consumption estimation using machine learning and on-board diagnostics data
H Abediasl, A Ansari, V Hosseini… - Proceedings of the …, 2023 - journals.sagepub.com
Instantaneous fuel consumption estimation of fleet vehicles provides essential tools for fleet
operation optimization and intelligent fleet management. This study aims to develop …
operation optimization and intelligent fleet management. This study aims to develop …
Machine-learning-based digital twins for transient vehicle cycles and their potential for predicting fuel consumption
E Tomanik, AJ Jimenez-Reyes, V Tomanik, B Tormos - Vehicles, 2023 - mdpi.com
Transient car emission tests generate huge amount of test data, but their results are usually
evaluated only using their “accumulated” cycle values according to the homologation limits …
evaluated only using their “accumulated” cycle values according to the homologation limits …
[HTML][HTML] Calculating Fuel Usage and Emissions for Refrigerated Road Transport Using Real-World Data
MJ du Plessis, J van Eeden, L Goedhals-Gerber… - … Research Part D …, 2023 - Elsevier
Road freight transportation is and will become increasingly important in all distribution
chains. However, little research has analysed actual logistics service provider (LSP) data on …
chains. However, little research has analysed actual logistics service provider (LSP) data on …
[HTML][HTML] Neural network surrogate models for aerodynamic analysis in truck platoons: Implications on autonomous freight delivery
Recent advances in connected vehicles have the potential to revolutionize the efficiency and
sustainability of transportation. In particular, truck platooning has emerged as a promising …
sustainability of transportation. In particular, truck platooning has emerged as a promising …
Assessment of Energy Consumption Characteristics of Ultra-Heavy-Duty Vehicles under Real Driving Conditions
S Jo, HJ Kim, SI Kwon, JT Lee, S Park - Energies, 2023 - mdpi.com
Passenger cars account for the largest share of GHG emissions in the road sector. However,
given that the number of heavy-duty vehicles registered is lower but accounts for about a …
given that the number of heavy-duty vehicles registered is lower but accounts for about a …
Development of Machine Learning based approach to predict fuel consumption and maintenance cost of Heavy-Duty Vehicles using diesel and alternative fuels
S Katreddi - 2023 - search.proquest.com
One of the major contributors of human-made greenhouse gases (GHG) namely carbon
dioxide (CO 2), methane (CH 4), and nitrous oxide (NO X) in the transportation sector and …
dioxide (CO 2), methane (CH 4), and nitrous oxide (NO X) in the transportation sector and …
Assessment of On-Road High NOx Emitters by Using Machine Learning Algorithms for Heavy-Duty Vehicles
The aim of this study was to develop a model structure and to train a model based on
chassis dynamometer datasets and subsequently use the trained model in conjunction with …
chassis dynamometer datasets and subsequently use the trained model in conjunction with …
Energy consumption analysis of metropolitan logistics vehicles based on an ensemble -means long short-term memory model
S Gan, Q Zhang, Y Wang - Energy & Environment, 2024 - journals.sagepub.com
In recent years, creating a green and low-carbon sustainable development has received
extensive attention, prompting considerable research into reducing pollution emissions in …
extensive attention, prompting considerable research into reducing pollution emissions in …