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 …

Mixed effects random forest model for maintenance cost estimation in heavy-duty vehicles using diesel and alternative fuels

S Katreddi, A Thiruvengadam, GJ Thompson… - IEEE …, 2023 - ieeexplore.ieee.org
Maintenance & Repair costs in heavy-duty trucks are an important component of the total
cost of ownership. Due to the very limited availability of real-time data collected from medium …

Analysis and prediction model of fuel consumption and carbon dioxide emissions of light-duty vehicles

NLH Hien, AL Kor - Applied Sciences, 2022 - mdpi.com
Due to the alarming rate of climate change, fuel consumption and emission estimates are
critical in determining the effects of materials and stringent emission control strategies. In this …

Machine learning application for automotive emission prediction

S Kangralkar, R Khanai - 2021 6th International Conference for …, 2021 - ieeexplore.ieee.org
Over the past years, the demand for transport infrastructure and automotive has increased
drastically. India is one of the world's largest market for automotive and contributes …

Data driven analysis of usage and driving parameters that affect fuel consumption of heavy vehicles

A Viswanathan - 2013 - diva-portal.org
The aim of this thesis is to develop data mining models able to identify and classify usage
and driving parameters that affect fuel consumption of heavy vehicles. Heavy vehicles open …

Predicting CO2 Emissions from Traffic Vehicles for Sustainable and Smart Environment Using a Deep Learning Model

AH Al-Nefaie, THH Aldhyani - Sustainability, 2023 - mdpi.com
Burning fossil fuels results in emissions of carbon dioxide (CO2), which significantly
contributes to atmospheric changes and climate disturbances. Consequently, people are …

A comparative study on fuel consumption prediction methods of heavy-duty diesel trucks considering 21 influencing factors

J Gong, J Shang, L Li, C Zhang, J He, J Ma - Energies, 2021 - mdpi.com
With increasingly prominent environmental problems, controlling automobile exhaust has
become essential to the environment. The fuel consumption of transportation is the critical …

Trip based modeling of fuel consumption in modern heavy-duty vehicles using artificial intelligence

S Katreddi, A Thiruvengadam - Energies, 2021 - mdpi.com
Heavy-duty trucks contribute approximately 20% of fuel consumption in the United States of
America (USA). The fuel economy of heavy-duty vehicles (HDV) is affected by several real …

Prediction of fuel consumption of long haul heavy duty vehicles using machine learning and comparison of the performance of various learning techniques

A Bhoraskar - 2019 - repository.tudelft.nl
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 …

An assessment of greenhouse gases emission from diesel engine by adding carbon nanotube to biodiesel fuel using machine learning technique

AAM Beirami, E Maghsoudlou… - … Journal of Low …, 2024 - academic.oup.com
Due to the depletion of fossil fuel reserves, the significant pollution produced during their
combustion and the increasing costs, biodiesel sources have gained recognition as an …