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Rolling resistance model, fuel consumption model and the traffic energy saving potential from changed road surface conditions
Swedish National Road and Transport Research Institute, Society, environment and transport, Enviroment and traffic analysis.
Swedish National Road and Transport Research Institute, Traffic and road users, Traffic safety, society and road-user.
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.
2012 (English)Report (Other academic)
Abstract [sv]

För att uppskatta hur trafikenergin påverkas av förbättrad vägytestandard behövs följande:

  • • rullmotstånd som funktion av vägytans tillstånd
  • • alla övriga färdmotstånd
  • • bränsleförbrukning (Fc) som function av färdmotstånd.

Huvudsakligen baserat på data från svenska coastdown-mätningar har en generell rullmotståndsmodell utvecklats. Denna modell använder följande förklaringsvariabler: vägojämnheter (iri), makrotextur (mpd), temperatur och hastighet. Modellen har kalibrerats för personbil, tung lastbil och för tung lastbil med släp. Rullmotståndsmodellen har integrerats i en bränslemodell med färdmotstånd som bas. Modellen har en hög förklaringsgrad. Färdmotståndsuttrycket i Fc-funktionen innehåller utöver vägytevariabler sådana för horisontell kurvatur (ADC) och lutning (RF).

Om mpd per väglänk reduceras med upp till 0,5 mm, kommer den totala bränsleförbrukningen i vägnätet att reduceras med 1,1 %. Genom att reducera iri per länk med 0,5 m/km kommer hastigheten att öka parallellt med att rullmotståndet minskar, vilket har uppskattats resultera i att den totala bränsleförbrukningen i vägnätet approximativt blir oförändrad. Om spårdjup skulle reduceras parallellt med iri kan hastigheten förväntas öka ytterligare. Därmed skulle den resulterande bränsleeffekten bli en ökning. För enskilda väglänkar kan bränsleförbrukningen minska om andelen tung trafik är tillräckligt stor.

Abstract [en]

In order to evaluate traffic energy changes due to the improvement of road surface standard one need to describe:

  • • rolling resistance at different road surface conditions
  • • all other driving resistance
  • • fuel consumption (Fc) as a function of driving resistance.

Based mainly on empirical data from coastdown measurements in Sweden a general rolling resistance model – with roughness (iri), macrotexture (mpd), temperature and speed as explanatory variables – was developed and calibrated for a car; a heavy truck and a heavy truck with trailer.

This rolling resistance model has been incorporated into a driving resistance based Fc model with a high degree of explanation. The Fc function also includes variables for horizontal curvature (ADC) and the road gradient (RF). If mpd per road link is reduced by up to 0.5 mm, the total Fc in the road network will be reduced by 1.1%. By reducing iri per link by 0.5 m/km, speed will increase in parallel to reduced rolling resistance and there will be approximately no resulting effect on Fc. If rut depth is decreased in parallel to iri there will be a further increase in speed. For individual road links there might be an energy saving potential if the proportion of heavy vehicles is big enough.

Place, publisher, year, edition, pages
Linköping: Statens väg- och transportforskningsinstitut, 2012. , 97 p.
Series
VTI rapport, ISSN 0347-6030 ; 748A
Keyword [en]
Rolling resistance, Fuel consumption, Surfacing, Rutting (wheel), Evenness, Calculation, Method, Mathematical model
Keyword [sv]
Rullmotstånd, Bränsleförbrukning, Beläggningar, Spårbildning, Jämnhet, Beräkning, Metoder, Matematiska modeller
National Category
Infrastructure Engineering Vehicle Engineering
Research subject
Road: Highway design, Road: Surfacing; Road: Vehicles and vehicle technology, Road: Vehicles and the environment; Road: Transport, society, policy and planning, Road: Environment
Identifiers
URN: urn:nbn:se:vti:diva-1830Archive number: VV AL90 A 2009:30402OAI: oai:DiVA.org:vti-1830DiVA: diva2:670621
Available from: 2013-12-03 Created: 2013-12-03 Last updated: 2017-03-30Bibliographically approved

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