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 …
Pilot simulation for public passenger transport energy consumption
GCC Angelina, HR Manuel - Computers & Industrial Engineering, 2024 - Elsevier
The knowledge of the variables that impact energy consumption allows for a better
understanding of how to mitigate energy consumption and emissions production for public …
understanding of how to mitigate energy consumption and emissions production for public …
[PDF][PDF] Prediction of Fuel Consumption of Long Haul Heavy Duty Trucks Using Machine Learning and Comparison of the Performance of Various Learning Techniques
A Bhoraskar - Delft University of Technology, 2019 - victorknoop.eu
This study aims at a possible solution to predict the fuel consumption of heavy duty diesel
trucks, particularly, the tractor-semitrailer for their long haul operations using various …
trucks, particularly, the tractor-semitrailer for their long haul operations using various …
Methodology for public passenger transport in develo** countries: a survey
CA García-Cerrud, IF de la Mota - Transportation Research Procedia, 2023 - Elsevier
Transport is a basic and essential function in any economy or society that provides comfort
in terms of travel, so the decrease in transport activity and the increase in its energy …
in terms of travel, so the decrease in transport activity and the increase in its energy …
Pilot simulation for public passenger transport energy consumption
GC Carmen Angelina, H Rosales Manuel… - 2024 - dl.acm.org
The knowledge of the variables that impact energy consumption allows for a better
understanding of how to mitigate energy consumption and emissions production for public …
understanding of how to mitigate energy consumption and emissions production for public …
Robust and cost‐efficient experimental design for technical tests of information and communication technology‐based solutions in the automotive sector
Nowadays, an ever‐increasing number of information and communication technology
solutions (hardware or software based) are finding their way to the automotive sector …
solutions (hardware or software based) are finding their way to the automotive sector …
Forecasting Gasoline Consumption in Iran using Deep Learning Approaches
Gasoline consumption is one of the challenging issues of energy management in Iran. The
deficit of domestic production and the need for imports on one hand, and the impact of its …
deficit of domestic production and the need for imports on one hand, and the impact of its …
Determining the impacts of freight transport mode combinations on air pollution using artificial neural networks
Transport is one of the largest emitters of harmful substances that affect air quality. Each
combination of freight transport modes has a different volume and at the same time has a …
combination of freight transport modes has a different volume and at the same time has a …
Data-driven power estimation of electric buses using deep LSTM neural networks and symbolic aggregate approximation filtering
P Zarei - 2020 - open.library.ubc.ca
This thesis proposes a deep learning framework for estimating the power use of electric
vehicle drivetrains, using an artificial recurrent neural network architecture (long short-term …
vehicle drivetrains, using an artificial recurrent neural network architecture (long short-term …
A Modeling of Realtime Fuel Comsumption Prediction Using OBDII Data
HE Yang, DH Kim, H Choe - KIPS Transactions on Software and …, 2021 - koreascience.kr
This study presents a method for realtime fuel consumption prediction using real data
collected from OBDII. With the advent of the era of self-driving cars, electronic control units …
collected from OBDII. With the advent of the era of self-driving cars, electronic control units …