Experiment with Reduced Salting of Rural Main Roads in Finland

Kallberg, Veli-Pekka

doi:10.3141/1533-05

Cited by 3 publications

(1 citation statement)

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“…Precipitation is the most significant and most studied weather factor, followed by snow, temperature, fog, wind, etc. Examples of such studies are: precipitation (Satterthwaite 1976;Brodsky and Hakkert 1988;Andrey and Yagar 1993;Edwards 1996;Andrey et al 2003;Keay and Simmonds 2006;Bijleveld and Churchill 2009); snow (Edwards, 1996;Nofal and Saeed, 1997;Brijs et al, 2008); a combination of snow and ice (Kallberg, 1996); temperature (Stern and Zehavi, 1990;Wyon et al 1996;Nofal and Saeed;1997); and strong wind (Baker and Reynolds, 1992;Young and Liesman, 2007). Many researchers find that the total number of road accidents increases with precipitation.…”

Section: In-situ Meteorological Sensor Datamentioning

confidence: 99%

Traffic incidents in motorways: An empirical proposal for incident detection using data from mobile phone operators

Steenbruggen

Tranos

Rietveld

2016

Journal of Transport Geography

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This paper proves that mobile phone usage data is an easy to use, cheap and most importantly, reliable predictor of motorway incidents. Using econometric modelling, this paper provides a proof of concept of how mobile phone usage data can be utilised to detect motorway incidents. Greater Amsterdam is used here as a case study and the results suggest that mobile phone usage data can be utilised for the development of an early warning system to support road traffic incident management.

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