The effect of road characteristics on timber truck driving speed and fuel consumption based on visual interpretation of road database and data from fleet management system

Road transport produces 90% of greenhouse gas emissions in timber transport in Finland. It is therefore necessary to understand the factors that affect driving speed, fuel consumption, and ultimately, emissions. The objective of this study was to assess the effect of road characteristics on timber t...

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Main Authors: Perttu Anttila, Johannes Ojala, Teijo Palander, Kari Väätäinen
Format: Article
Language:English
Published: Finnish Society of Forest Science 2023-01-01
Series:Silva Fennica
Subjects:
Online Access:https://www.silvafennica.fi/article/10798
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author Perttu Anttila
Johannes Ojala
Teijo Palander
Kari Väätäinen
author_facet Perttu Anttila
Johannes Ojala
Teijo Palander
Kari Väätäinen
author_sort Perttu Anttila
collection DOAJ
description Road transport produces 90% of greenhouse gas emissions in timber transport in Finland. It is therefore necessary to understand the factors that affect driving speed, fuel consumption, and ultimately, emissions. The objective of this study was to assess the effect of road characteristics on timber truck driving speed and fuel consumption. Data from the fleet management and transport management systems of two timber trucks were collected over a year. A sample of 104 trips was drawn, and the tracking points were overlaid on the road data in a geographical information system. Thereafter, work phases were determined for the points, and they were visually classified into road and pavement classes. Subsequently, the data of 80 trips were utilised in regression analysis to further study the effects of the visually interpreted variables on driving speed and fuel consumption. Fuel consumption was explained by the proportion of forest roads and distance travelled with a loader, and the number of crossings and season when driving without a load. When driving with a load, both asphalt and gravel pavements decreased consumption, in contrast to an unpaved road. Crossings increased fuel consumption, as did the winter and spring months, and the total laden mass of the truck. In conclusion, the study showed that the functional Finnish road and pavement classes can be used to predict driving speed and fuel consumption.
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spelling doaj.art-d12347c8296a40e78f26ccc33d05f4092024-02-22T10:29:23ZengFinnish Society of Forest ScienceSilva Fennica2242-40752023-01-0156410.14214/sf.10798The effect of road characteristics on timber truck driving speed and fuel consumption based on visual interpretation of road database and data from fleet management systemPerttu Anttila0https://orcid.org/0000-0002-6131-392XJohannes Ojala1Teijo Palander2https://orcid.org/0000-0002-9284-5443Kari Väätäinen3https://orcid.org/0000-0002-6886-0432Natural Resources Institute Finland (Luke), Latokartanonkaari 9, FI-00790 Helsinki, FinlandUPM Metsä, Sirkkalantie 13 b, FI-80100 Joensuu, FinlandSchool of Forest Sciences, University of Eastern Finland (UEF), Yliopistokatu 7, FI-80100 Joensuu, FinlandNatural Resources Institute Finland (Luke), Yliopistokatu 6, FI-80100 Joensuu, FinlandRoad transport produces 90% of greenhouse gas emissions in timber transport in Finland. It is therefore necessary to understand the factors that affect driving speed, fuel consumption, and ultimately, emissions. The objective of this study was to assess the effect of road characteristics on timber truck driving speed and fuel consumption. Data from the fleet management and transport management systems of two timber trucks were collected over a year. A sample of 104 trips was drawn, and the tracking points were overlaid on the road data in a geographical information system. Thereafter, work phases were determined for the points, and they were visually classified into road and pavement classes. Subsequently, the data of 80 trips were utilised in regression analysis to further study the effects of the visually interpreted variables on driving speed and fuel consumption. Fuel consumption was explained by the proportion of forest roads and distance travelled with a loader, and the number of crossings and season when driving without a load. When driving with a load, both asphalt and gravel pavements decreased consumption, in contrast to an unpaved road. Crossings increased fuel consumption, as did the winter and spring months, and the total laden mass of the truck. In conclusion, the study showed that the functional Finnish road and pavement classes can be used to predict driving speed and fuel consumption.https://www.silvafennica.fi/article/10798fuel consumption; forest roads; can bus; forest logistics; greenhouse gas emissions; log truck; road classes
spellingShingle Perttu Anttila
Johannes Ojala
Teijo Palander
Kari Väätäinen
The effect of road characteristics on timber truck driving speed and fuel consumption based on visual interpretation of road database and data from fleet management system
Silva Fennica
fuel consumption; forest roads; can bus; forest logistics; greenhouse gas emissions; log truck; road classes
title The effect of road characteristics on timber truck driving speed and fuel consumption based on visual interpretation of road database and data from fleet management system
title_full The effect of road characteristics on timber truck driving speed and fuel consumption based on visual interpretation of road database and data from fleet management system
title_fullStr The effect of road characteristics on timber truck driving speed and fuel consumption based on visual interpretation of road database and data from fleet management system
title_full_unstemmed The effect of road characteristics on timber truck driving speed and fuel consumption based on visual interpretation of road database and data from fleet management system
title_short The effect of road characteristics on timber truck driving speed and fuel consumption based on visual interpretation of road database and data from fleet management system
title_sort effect of road characteristics on timber truck driving speed and fuel consumption based on visual interpretation of road database and data from fleet management system
topic fuel consumption; forest roads; can bus; forest logistics; greenhouse gas emissions; log truck; road classes
url https://www.silvafennica.fi/article/10798
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