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Optimized route selection for logging trucks

improvements to calibrated route finder

Svenson, Gunnar (2017). Optimized route selection for logging trucks. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis agriculturae Sueciae, 1652-6880 ; 2017:7
ISBN 978-91-576-8787-6
eISBN 978-91-576-8788-3
[Doctoral thesis]

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Abstract

The forestry sector is playing an important role in the transition to a bioeconomy.In the supply chain of forest raw material, logging transport is a crucial component. The forestry sector must improve transport efficiency to
mitigate its impact on the environment, to reduce costs and road safety risks,and to remain competitive.

Forestry transport in Sweden is paid according to payload and distance travelled. The forestry sector has developed a system for distance measurement, Calibrated Route Finder (CRF), which balances quantitative factors, such as distance, functional road class and road width, with qualitative factors, such as stress and traffic safety. An inverse optimization process is used to translate best-practice routes into a weighted objective that is used
when new routes are generated.

The objectives of this thesis have been to improve CRF, by including features describing road curvature and hilliness, and addressing illegal or impossible turns in intersections. Methods have been developed to calculate
curvature and hilliness using available data in the national road data base. The study has proposed an augmentation of the road data network so that illegal,
non-logical and undesirable turns and short-cuts can be considered. The augmented network also enables detailed descriptions of increased time and fuel consumption in relation to intersections, which provides opportunities to generate routing with a focus on minimizing cost or greenhouse emissions.

Two of the major cost elements in logging transport are time and fuel consumption, and this study has shown that fuel consumption is mainly affected by road gradient and truck weight, while operating speed is mainly affected by horizontal curvature and surface roughness. A new variable was introduced, integrated gradient, which describes the vertical work performed by the truck on undulating road sections better than the gradient variable.

Authors/Creators:Svenson, Gunnar
Title:Optimized route selection for logging trucks
Subtitle:improvements to calibrated route finder
Series/Journal:Acta Universitatis agriculturae Sueciae (1652-6880)
Year of publishing :2017
Depositing date:11 January 2017
Volume:2017:7
Number of Pages:103
Papers/manuscripts:
NumberReferences
IGunnar Svenson & Dag Fjeld (2016). The impact of road geometry and surface roughness on fuel consumption of logging trucks. Scandinavian Journal of Forest Research, 31(5),pp. 26–536.
IIGunnar Svenson & Dag Fjeld (2016). The impact of road geometry, surface roughness and truck weight on operating speed of logging trucks. Scandinavian Journal of Forest Research. (Published online: 13 Dec 2016)
IIIGunnar Svenson, Patrik Flisberg & Mikael Rönnqvist (2016). Using Analytics in the Implementation of Vertical and Horizontal Curvature in Route Calculation. IEEE Transactions on Intelligent Transportation Systems, 17(6), pp. 1772-1785.
IVGunnar Svenson, Patrik Flisberg & Mikael Rönnqvist (2016). An augmented network for improved route generation using detailed description of turning in intersections. (Submitted manuscript)
VGunnar Svenson, Patrik Flisberg, Mikael Rönnqvist & Lars-Erik Jönsson (2016). Calibrated Route Finder – social, safe, environmental and cost-effective truck routing. (Submitted manuscript)
Place of Publication:Umeå
Publisher:Department of Forest Resource Management, Swedish University of Agricultural Sciences
ISBN for printed version:978-91-576-8787-6
ISBN for electronic version:978-91-576-8788-3
ISSN:1652-6880
Language:English
Publication Type:Doctoral thesis
Full Text Status:Public
Agris subject categories.:J Handling, transport, storage and protection of agricultural products > J12 Handling, transport, storage and protection of forest products
K Forestry > K11 Forest engineering
U Auxiliary disciplines > U10 Mathematical and statistical methods
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 101 Mathematics > 10101 Mathematical Analysis
(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 201 Civil Engineering > Transport Systems and Logistics
(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Agrovoc terms:trucks, fuels, road transport, efficiency, costs, pollution control, sweden
Keywords:Distance measurement, Fuel consumption, Road characteristics, Intersections, Iinverse optimization, Remuneration system, Speed modelling, Surface roughness
URN:NBN:urn:nbn:se:slu:epsilon-e-3878
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3878
ID Code:13960
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
External funders:Skogforsk
Deposited By: Mr Gunnar Svenson
Deposited On:12 Jan 2017 09:48
Metadata Last Modified:03 Feb 2017 11:28

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