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

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.

• Record URL:
  • https://doi.org/10.1016/j.jtrangeo.2016.05.008
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0966692316302575
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09666923
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Steenbruggen, John
  • Tranos, Emmanouil
  • Rietveld, Piet
• Publication Date: 2016-6

Language

• English

Media Info

• Media Type: Web
• Features: Figures; Maps; References; Tables;
• Pagination: pp 81-90
• Serial:
  • Journal of Transport Geography
  • Volume: 54
  • Publisher: Elsevier
  • ISSN: 0966-6923
  • Serial URL: http://www.elsevier.com/locate/jtrangeo

Subject/Index Terms

• TRT Terms: Data collection; Econometric models; Freeways; Incident detection; Incident management; Mobile telephones; Traffic incidents
• Geographic Terms: Amsterdam (Netherlands)
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01609255
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 30 2016 9:03AM