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

John Steenbruggen, Emmanouil Tranos, P. Rietveld

Research output: Contribution to JournalArticleAcademicpeer-review

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 - 2016

Fingerprint

motorway
Mobile phones
incident
traffic
early warning system
traffic management
Alarm systems
road traffic
econometrics
management
modeling
detection
mobile phone

Keywords

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

Cite this

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Traffic incidents in motorways : An empirical proposal for incident detection using data from mobile phone operators. / Steenbruggen, John; Tranos, Emmanouil; Rietveld, P.

In: Journal of Transport Geography, Vol. 54, 2016, p. 81-90.

Research output: Contribution to JournalArticleAcademicpeer-review

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