Add to ORKGThere remains a level of uncertainty concerning the methodological assumptions and parameters to consider in the estimation of road vehicle fuel consumption due to the condition of road pavements. In fact, recent studies highlighted how existing models can lead to very different results and that because of this, they are not fully ready to be implemented as standard in the life-cycle assessment (LCA) framework. This study presents an innovative approach, based on the application of the Boruta algorithm (BA) and neural networks (NN), for the assessment and calculation of the fuel consumption of a large fleet of truck, which can be used to estimate the use phase emissions of road pavements. The study shows that neural networks are suitable to...
This paper advocates a data summarization approach based on distance rather than the traditional tim...
Considering data from 260 articulated trucks, with ~12900 cc Euro 6 engines driving along a motorway...
Fuel used by heavy duty trucks is a major cost for logistics companies, and therefore improvements i...
There remains a level of uncertainty concerning the methodological assumptions and parameters to con...
This paper presents the application of three Machine Learning techniques to fuel consumption modelli...
The thesis presents a novel approach for estimating the impact of road roughness and macro-texture o...
Life Cycle Assessment (LCA) is increasingly used to evaluate the impact of all lifecycle phases of r...
Experimental studies have estimated the impact of road surface conditions on vehicle fuel consumptio...
“Using truck sensors for road pavement performance investigation” is a research project within TRUSS...
This study aims at a possible solution to predict the fuel consumption of heavy duty diesel trucks, ...
In Europe, the road network is the most extensive and valuable infrastructure asset. In England, for...
Fuel consumption (FC) is one of the key factors indetermining expenses of operating a heavy-duty veh...
The aim of this Master thesis is to provide a statistical analysis of the factors inuencing the fuel...
The fuel consumption accounts for a large portion of operational cost for logistics companies and he...
Heavy-duty trucks contribute approximately 20% of fuel consumption in the United States of America (...
This paper advocates a data summarization approach based on distance rather than the traditional tim...
Considering data from 260 articulated trucks, with ~12900 cc Euro 6 engines driving along a motorway...
Fuel used by heavy duty trucks is a major cost for logistics companies, and therefore improvements i...
There remains a level of uncertainty concerning the methodological assumptions and parameters to con...
This paper presents the application of three Machine Learning techniques to fuel consumption modelli...
The thesis presents a novel approach for estimating the impact of road roughness and macro-texture o...
Life Cycle Assessment (LCA) is increasingly used to evaluate the impact of all lifecycle phases of r...
Experimental studies have estimated the impact of road surface conditions on vehicle fuel consumptio...
“Using truck sensors for road pavement performance investigation” is a research project within TRUSS...
This study aims at a possible solution to predict the fuel consumption of heavy duty diesel trucks, ...
In Europe, the road network is the most extensive and valuable infrastructure asset. In England, for...
Fuel consumption (FC) is one of the key factors indetermining expenses of operating a heavy-duty veh...
The aim of this Master thesis is to provide a statistical analysis of the factors inuencing the fuel...
The fuel consumption accounts for a large portion of operational cost for logistics companies and he...
Heavy-duty trucks contribute approximately 20% of fuel consumption in the United States of America (...
This paper advocates a data summarization approach based on distance rather than the traditional tim...
Considering data from 260 articulated trucks, with ~12900 cc Euro 6 engines driving along a motorway...
Fuel used by heavy duty trucks is a major cost for logistics companies, and therefore improvements i...