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Calibration of the Swedish studded tyre abrasion wear prediction model with implication for the NORTRIP road dust emission model
VTI, Sweden; KTH Royal Instiute of Technology, Sweden.
RISE - Research Institutes of Sweden, Built Environment, Energy and Circular Economy.ORCID iD: 0000-0002-2679-2611
VTI, Sweden.
VTI, Sweden; KTH Royal Instiute of Technology, Sweden; University of Iceland, Iceland.
2019 (English)In: The international journal of pavement engineering, ISSN 1029-8436, E-ISSN 1477-268XArticle in journal (Refereed) Epub ahead of print
Abstract [en]

An experimentally based prediction model of road abrasion wear due to studded tyres is available in Sweden and has been found to work well. However, it has not been validated since 2007, and since then road surfaces and tyre design have developed, and the question has arisen regarding the model’s current validity. The abrasion wear model is used in the NORTRIP emission model (NOn-exhaust Road Traffic Induced Particle emission modelling), and the effect of a recalibrated abrasion wear model on the emission model is shown. In this paper, the abrasion wear model is compared to full-scale field measurements at several recently constructed roads in Sweden to investigate its validity, while also proposing changes to allow for continued use. It is concluded that the model overestimates the wear and an update is suggested. In addition, the impact on NORTRIP emission predictions is briefly investigated. There were also indications that NORTRIP is affected by the abrasion model overestimating the contribution of pavement wear to the particle emissions.

Place, publisher, year, edition, pages
Taylor and Francis Ltd. , 2019.
Keywords [en]
Abrasion wear, Model, Pavement, PM10, Road dust, Studded tyre, Dust, Erosion, Forecasting, Models, Pavements, Tires, Field measurement, Particle emissions, Prediction model, Road dust emissions, Road dusts, Abrasion
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-38974DOI: 10.1080/10298436.2019.1614585Scopus ID: 2-s2.0-85065747784OAI: oai:DiVA.org:ri-38974DiVA, id: diva2:1322309
Available from: 2019-06-10 Created: 2019-06-10 Last updated: 2019-06-27Bibliographically approved

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Janhäll, Sara

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