Neural models for benchmarking of truck driver fuel economy performance

AJ Hoffman - 2019 - repository.nwu.ac.za
The transport industry is a primary contributor towards emissions that impact climate change.
Fuel economy is also of critical importance to the profitability of road freight transport …

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 …

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 …

Fuel consumption estimation in heavy-duty trucks: Integrating vehicle weight into deep-learning frameworks

P Fan, G Song, Z Zhai, Y Wu, L Yu - Transportation Research Part D …, 2024 - Elsevier
Insufficient consideration of vehicle weight dynamics during real-world driving could lead to
inaccurate fuel consumption estimates. This study examined the impact of vehicle weight on …

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 …

[PDF][PDF] Route-Sensitive Fuel Consumption Models for Heavy-Duty Vehicles

A Schoen, A Byerly, EC dos Santos Jr - 2020 - scholarworks.iupui.edu
This article investigates the ability of data-driven models to estimate instantaneous fuel
consumption over 1 km road segments from different routes for different heavy-duty vehicles …

Estimating fuel consumption using regression and machine learning

L Ekström - 2018 - diva-portal.org
This thesis focuses on investigating the usage of statistical models for estimating fuel
consumption of heavy duty vehicles. Several statistical models are assessed, along with …

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 …

Understanding freight drivers' behavior and the impact on vehicles' fuel consumption and CO2e emissions

Z Zhang, E Demir, R Mason… - Operational Research, 2023 - Springer
Despite the significant impact of driver behavior on fuel consumption and carbon dioxide
equivalent (CO2e) emissions, this phenomenon is often overlooked in road freight …

Truck Fuel Consumption Prediction Using Logistic Regression and Artificial Neural Networks

SB Shamuyarira, T Tawanda… - International Journal of …, 2023 - igi-global.com
Rising international oil costs and the transport industry's recovery from the effects of Covid-
19 resulted in the efficient management of fuel by logistics companies becoming a …