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

John Steenbruggen, Emmanouil Tranos, Piet Rietveld

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)
163 Downloads (Pure)

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.
Original languageEnglish
JournalJournal of Transport Geography
Volume54
Early online date31 May 2016
DOIs
Publication statusE-pub ahead of print - 31 May 2016

Keywords

  • Road traffic incident management
  • Mobile phone data
  • Data science
  • Collective sensing

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