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

John Steenbruggen*, Emmanouil Tranos, Piet Rietveld

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)

10 Citations (Scopus)

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
Pages (from-to)81-90
Number of pages10
JournalJournal of Transport Geography
Volume54
DOIs
Publication statusPublished - 1 Jun 2016

Keywords

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

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