Sammanfattning

Improved transport planning and pricing is dependent on correct cycle times. The objective of this study was to quantify the effect of road curvature, surface roughness, gradient and truck weight on the operating speed of a conventional 60-tonne gross vehicle weight logging truck. The study used a 320-km test track consisting of both public and forest roads. The track was driven with various gross vehicle weights. Speed data was retrieved from the truck's CAN-bus system and road data was measured with a profilograph. The key factors for operating speed were curvature and surface roughness, both of which were correlated to each other as well as partially captured by functional road class. Regression analysis quantified the individual effects of these factors as well as gradient, undulation and interactions with truck weight. A regression model is presented which explained 80% of the variation in operating speed. The results were consistent with previous studies, and the proposed models can be used to improve transport planning, cost estimation, operative route path selection and road investments.

Nyckelord

Logging trucks; speed modelling; low volume roads; road curvature; road gradient; truck payload

Publicerad i

Scandinavian Journal of Forest Research
2017, Volym: 32, nummer: 6, sidor: 515-527
Utgivare: TAYLOR & FRANCIS AS

SLU författare

• Fjeld, Dag

  • Institutionen för skogens biomaterial och teknologi, Sveriges lantbruksuniversitet
    
  • Norsk Institutt for Biookonomi (NIBIO)

Globala målen

SDG9 Bygga motståndskraftig infrastruktur, verka för en inkluderande och hållbar industrialisering samt främja innovation


UKÄ forskningsämne

Skogsvetenskap


Publikationens identifierare

DOI: https://doi.org/10.1080/02827581.2016.1259426

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/94158