Economics at your fingertips  

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

John Steenbruggen, Emmanouil Tranos and Piet Rietveld

Journal of Transport Geography, 2016, vol. 54, issue C, 81-90

Abstract: 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.

Keywords: Road traffic incident management; Mobile phone data; Data science; Collective sensing (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Journal of Transport Geography is currently edited by Frank Witlox

More articles in Journal of Transport Geography from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().

Page updated 2019-09-21
Handle: RePEc:eee:jotrge:v:54:y:2016:i:c:p:81-90