Publications
Change search
Refine search result
1 - 4 of 4
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Gustafsson, Mika
    et al.
    Swedish National Road and Transport Research Institute, Infrastructure, Infrastructure maintenance.
    Lundberg, Thomas
    Swedish National Road and Transport Research Institute, Infrastructure, Infrastructure maintenance.
    Andrén, Peter
    Datamani.
    Prognosmodeller för tillståndsmått i Trafikverkets Pavement Management System - makrotextur, MPD2012Report (Other academic)
    Abstract [en]

    In Sweden, the road surface condition is assessed regularly with laser-based profilo-graphs. This has been done since 1987. The purpose of these assessments is to provide the Swedish Transport Administration’s Pavement Management System (PMS) with data. All roads are, for financial reasons, not assessed every year, but the Swedish Transport Administration still needs a complete description of the road condition. One way to describe the condition of the entire road network is to work with models that forecast the condition the year when measurements are missing. This report has two main purposes. Firstly, to develop a methodology/approach how to create a prognostic model for a condition index that can change both linearly and non-linearly. Secondly, during the method development, create a prognostic model for MPD. The model is data-driven generated, but it also describes the time evolution. From this we can see clear trends for MPD development on an annual basis. The approach used to create a prognostic model for MPD can be used for other road surface characteristics such as megatexture, edge depth, water area, etc.

    Download full text (pdf)
    FULLTEXT01
  • 2.
    Ihs, Anita
    et al.
    Swedish National Road and Transport Research Institute, Infrastructure, Infrastructure maintenance.
    Gustafsson, Mika
    Swedish National Road and Transport Research Institute, Infrastructure, Infrastructure maintenance.
    Eriksson, Olle
    Swedish National Road and Transport Research Institute, Infrastructure, Infrastructure maintenance.
    Wiklund, Mats
    Swedish National Road and Transport Research Institute, Infrastructure, Infrastructure maintenance.
    Sjögren, Leif
    Swedish National Road and Transport Research Institute, Infrastructure, Infrastructure maintenance.
    Road user effect models: the influence of rut depth on traffic safety2011Report (Other academic)
    Abstract [en]

    There are currently no satisfactory effect models for calculating the consequences and costs for road users of different maintenance strategies. The main problems identified by the Transport/Road Administrations in Finland, Sweden, Norway and Estonia, are the relationship between road surface condition and accidents, the effect of the most important state parameter rut depth on road user costs, as well as the role of road-user costs/effects of a road network that is mostly in good condition. These are problems that must be resolved in order to better justify budget allocation for road maintenance. VTI has therefore on commission by the Finnish Transport Administration and with funding from the other Transport/Road Administrations conducted a study to determine the influence of rut depth effects on the accident risk of road users. Separate analyses were made of data from Sweden, Finland and Norway, respectively. It was assumed that the accident risk also depends on other road condition variables, such as longitudinal unevenness, texture, cross slope, geographic location (country), vehicle flow, climate, weather, etc. A model approach was chosen that could address the impact of all these other road condition variables, and the possible interactions between them, on the accident risk. It was assumed that the relationship between accident risk and rut depth is not necessarily a linear function, why rut depth was divided into several categories. It was also agreed that separate equations should be derived for different speed and AADT (Annual average daily traffic) classes. Rut depth categories, as well as speed and AADT classes were chosen to match each country's strategies for maintenance. The overall conclusion of the analysis is that the data does not support any general rules for a maintenance scheme. There are no results to show that deeper ruts generally tend to increase the accident risk. Nor are there results that show that ruts have the same influence on the accident risk for different AADT classes at a given speed or vice versa. There seems to be at increased risk for ruts ? about 15 mm in the highest speed class, but the results differ between AADT classes and are not similar in adjacent speed classes, making the results difficult to understand and less useful to specify the rules for maintenance. For the Norwegian data this trend can not be seen in the highest speed class (> = 90 km/h), but then this speed class differs from the Swedish and Finnish highest speed classes (> = 110 km/h roads and motorways, respectively).

    Download full text (pdf)
    FULLTEXT01
  • 3.
    Lundberg, Thomas
    et al.
    Swedish National Road and Transport Research Institute, Infrastructure, Infrastructure maintenance.
    Sjögren, Leif
    Swedish National Road and Transport Research Institute, Infrastructure, Infrastructure maintenance.
    Gustafsson, Mika
    Swedish National Road and Transport Research Institute, Infrastructure, Infrastructure maintenance.
    Ihs, Anita
    Swedish National Road and Transport Research Institute, Infrastructure, Infrastructure maintenance.
    Vägytans makrotextur och dess variation: vägytemätning med mätbil2011Report (Other academic)
    Abstract [en]

    Early fault detection, particularly at construction stage, can result in substantial savings for the Swedish Transport Administration. A contributing element to these savings is to have a homogeneous bituminous surface structure. For example, load changes, at low temperatures, can create a heterogeneous surface structure that gives rise to premature maintenance needs. Established methods or macro texture measurement models are not currently available in Sweden. Other countries have made advances in this field but they have not yet had an impact in Sweden.

    An objective of this project is to maximize the possible use of existing measurement technology, quality and techniques associated with road surface measurement carried out by survey vehicles. In some cases, after a new surface has been laid, ‘object measurement’ is carried out by a survey vehicle. These measurements can be used to approve the surfacing contractor's performance in terms of longitudinal and transverse smoothness. A similar method, with specified values for homogeneous surface structures, will be developed in this project. An object is designed to provide a safe road surface throughout its design life expectancy. In order to be able to achieve this, it is important to discover surface shortcomings such as material separation. Four different models were tested in the project - all of which show promising results. Generally, all the models were able to identify the worst test surface. However, the actual "failed" road surface length of the object varied between models. This, above all, is a question of calibrating the models' limits. However, there is also potential to improve the model itself.

    Download full text (pdf)
    FULLTEXT01
  • 4.
    Niska, Anna
    et al.
    Swedish National Road and Transport Research Institute, Infrastructure, Infrastructure maintenance.
    Sjögren, Leif
    Swedish National Road and Transport Research Institute, Infrastructure, Infrastructure maintenance.
    Gustafsson, Mika
    Swedish National Road and Transport Research Institute, Infrastructure, Infrastructure maintenance.
    Jämnhetsmätning på cykelvägar: utveckling och test av metod för att bedöma cyklisters åkkvalitet baserat på cykelvägens längsprofil2011Report (Other academic)
    Abstract [en]

    Condition assessment of cycle paths is important for planning and prioritising maintenance measures. In order to promote cycling the assessment methods need to be related to cyclists' needs and not only to the technical condition of the cycle path. Objective measuring methods are essential in order for measurable performance requirements to be specified regarding the needs of the cyclists. For the riding comfort of cyclists, the surface evenness of the cycle paths is probably the parameter that has the greatest importance.

    In this study, a method for measuring the surface evenness of cycle paths has been tested and evaluated. The method is based on measurement of the cycle path's longitudinal profile using laser sensors. Several measurements were made on cycle paths in Malmö. In order to associate the measurements with the riding quality perceived by cyclists, cyclists were asked to assess their impression of the surface of some test sections of variable quality. There were large individual differences in the assessments of the cyclists, but it was nonetheless possible to make a distinction between assessments of the different sections.

    In order to describe surface evenness a straight edge model was used. Analyses showed that 0.5 m was the length of the straight edge that yielded the best correlation between measured value and the assessment of the cyclists. Because of the limitations in the measuring method used, only unevenness with wavelengths varying from approximately 20 to 50 cm were assessed. It is probable that unevenness of smaller wavelength also have great significance for the cyclists' riding quality, which implies that macro and mega textures should also be measured.

    Download full text (pdf)
    FULLTEXT01
1 - 4 of 4
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf