Estimating truck fuel consumption with machine learning using telematics, topology and weather data
T Bousonville, M Dirichs… - … Conference on Industrial …, 2019 - ieeexplore.ieee.org
When purchasing new trucks it is crucial to have a good estimate of the future fuel
consumption of the different truck models to choose from. The fuel consumption is a function …
consumption of the different truck models to choose from. The fuel consumption is a function …
Data driven analysis and forecasting of medium and heavy truck fuel consumption
T Bousonville, D Cheubou Kamga… - Enterprise Information …, 2022 - Taylor & Francis
Fuel consumption for transport activities should be as low as possible for ecological and
economic reasons. This said, there is no transparency as to which truck model behaves …
economic reasons. This said, there is no transparency as to which truck model behaves …
Fuel consumption prediction of fleet vehicles using machine learning: A comparative study
S Wickramanayake… - 2016 moratuwa …, 2016 - ieeexplore.ieee.org
Ability to model and predict the fuel consumption is vital in enhancing fuel economy of
vehicles and preventing fraudulent activities in fleet management. Fuel consumption of a …
vehicles and preventing fraudulent activities in fleet management. Fuel consumption of a …
Empirical model for truck route fuel economy
AJ Hoffman… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Road freight transport is of critical importance for economic growth in Sub-Sahara Africa due
to lacking rail infrastructure. Fuel represents the single biggest operational cost for road …
to lacking rail infrastructure. Fuel represents the single biggest operational cost for road …
Fuel Rate Prediction for Heavy-Duty Trucks
Fuel cost contributes significantly to the high operation cost of heavy-duty trucks. Developing
fuel rate prediction models is the cornerstone of fuel consumption optimization approaches …
fuel rate prediction models is the cornerstone of fuel consumption optimization approaches …
Heavy duty vehicle fuel consumption modeling using artificial neural networks
In this paper an artificial neural network (ANN) approach to modelling fuel consumption of
heavy duty vehicles is presented. The proposed method uses easy accessible data …
heavy duty vehicles is presented. The proposed method uses easy accessible data …
Fuel consumption prediction for heavy-duty vehicles using digital maps
LL Ojeda, A Chasse, R Goussault - 2017 ieee 20th …, 2017 - ieeexplore.ieee.org
With the steep increase of heavy-duty transportation, more fuel efficient technologies and
services have become of great importance due to their environmental impact (in terms of CO …
services have become of great importance due to their environmental impact (in terms of CO …
A Machine Learning Approach for Predicting Price of Used Cars and Power Demand Forecasting to Conserve Non-renewable Energy Sources
S Gupta, M Vijarania, M Udbhav - Renewable Energy Optimization …, 2023 - Springer
In today's era, renewable energy sources such as sun, wind, and water are becoming
popular alternative for building smart cities which thereby increasing the usage of cars on …
popular alternative for building smart cities which thereby increasing the usage of cars on …
Vehicle fuel optimization under real-world driving conditions: An explainable artificial intelligence approach
Fuel optimization of diesel and petrol vehicles within industrial fleets is critical for mitigating
costs and reducing emissions. This objective is achievable by acting on fuel-related factors …
costs and reducing emissions. This objective is achievable by acting on fuel-related factors …
An empirical model for the assessment of truck driver fuel economy
AJ Hoffman… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Effective management of fuel economy is of critical importance for road freight transport
operators to ensure profitability. Empirical evidence indicates that a variety of factors …
operators to ensure profitability. Empirical evidence indicates that a variety of factors …