Deriving origin–destination data from a mobile phone network

Deriving origin–destination data from a mobile phone network

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Acquiring high-quality origin–destination (OD) information for traffic in a geographic area is both time consuming and expensive while using conventional methods such as household surveys or roadside monitoring. These methods generally present only a snapshot of traffic situation at a certain point in time, and they are updated in time intervals of up to several years. A technique was developed that makes use of the global system for mobile communications (GSM) mobile phone network. Instead of monitoring the flow of vehicles in a transportation network, the flow of mobile phones in a cell-phone network is measured and correlated to traffic flow. This methodology is based on the fact that a mobile phone moving on a specific route always tends to change the base station nearly at the same position. For a first pilot study, a GSM network simulator has been designed, where network data can be simulated, which is then extracted from the phone network, correlated, processed mathematically and converted into an OD matrix. Primary results show that the method has great potential, and the results inferred are much more cost-effective than those generated with traditional techniques. This is due to the fact that no change has to be made in the GSM network, because the information that is needed can readily be extracted from the base station database, that is the entire infrastructure needed is already in place.


    1. 1)
      • A.M. Townsend , B. Brown , N. Green , R. Harper . (2001) Mobile Communications in the 21st Century City, The wireless world: social and interactional aspects of the mobile age.
    2. 2)
      • Bolla, R., Davoli, F., Giordano, F.: `Estimating road traffic parameters from mobile communications', 7thWorld Congress on ITS, 2000, Torino, Italy.
    3. 3)
      • D.J. Lovell . Accuracy of speed measurements from cellular phone vehicle location systems. ITS J. , 4 , 303 - 325
    4. 4)
      • Smith, B.L., Pack, M.L., Lovell, D.J., Sermons, M.W.: `Transportation management applications of anonymous mobile call sampling', Proc 11th Annual Meeting of ITS America, 2001, Miami, FL.
    5. 5)
      • K. Sohn . (2004) Dynamic estimation of origin–destination flows using cell phones as probes.
    6. 6)
      • Akin, D., Sisiopiku, V.P.: `Estimating origin–destination matrices using location information from cell phones', Proc. 49th Annual North American Meetings of The Regional Science Association Int, 2002, Puerto Rico.
    7. 7)
      • Cayford, R., Johnson, T.: `Operational parameters affecting use of anonymous cell phone tracking for generating traffic information', Proc. Transportation Research Board 82nd Annual Meeting, 2003, Washington, DC.
    8. 8)
      • R. Ahas , M. Ülar . Location based services – new challenges for planning and public administration?. Futures , 6 , 547 - 561
    9. 9)
      • G. Rose . (2004) Mobile phones as traffic probes.
    10. 10)
      • C. Ratti , R.M. Pulselli , S. Williams , D. Frenchman . Mobile landscapes: using location data from cell-phones for urban analysis. Environ. Plan. B – Plan. Des. , 5 , 727 - 748
    11. 11)
      • Mobile landscape, Graz in real time.
    12. 12)
      • (LogicaCMG - Mobile Traffic Service (MTS): Available at:
    13. 13)
      • Vodafone Group – Features: ‘Case study: relieving traffic congestion in Portugal and the Netherlands, May 2004. Available at:,3029,OPCO%253D40000%2526CATEGORY_ID%253D213%2526MT_ID%253Dfa%2526LANGUAGE_ID%253D0%2526CONTENT_ID%253D233430,00.html.
    14. 14)
      • ITIS Holdings – Press Releases. Available at:,Interim_Results_24th_November_2005.pdf.
    15. 15)
      • White, J.K., Gower, P.: `Collecting origin-destination information from cellular phone location data', 1999, unpublished report.
    16. 16)
      • White, J., Wells, I.: `Extracting origin destination information from mobile phone data', 11thInt. Conf. on Road Transport Information and Control (Conf. Publ. No. 486), 2002, London, March, p. 30–34.
    17. 17)
      • Ygnace, J.-L.: `Travel time/speed estimates on the French rhone corridor network using cellular phones as probes', Final report of the SERTI V program, 2001, INSERTS, Lyon, France.
    18. 18)
      • Kummala, J.: `Travel time service utilising mobile phones', Finnish Road Administration Finnra Report 55/2002, 2002, p. 67, Helsinki.
    19. 19)
      • Virtanen, J.: `Mobile phones as probes in travel time monitoring', 2002.
    20. 20)
      • M. Alger . (2004) Smith institute: real-time traffic monitoring using mobile phone data.
    21. 21)
      • Thiessenhusen, K.-U., Schäfer, R.-P., Lang, T.: `Traffic data from cell phones: a comparison with loops and probe vehicle data', 2003.
    22. 22)
      • AutoRoute1: real-time route guidance.
    23. 23)
      • Using cellular technology to provide an intelligent traffic roadmap.
    24. 24)
      • Cell phones could keep you out of traffic jams.
    25. 25)
      • Delcan.NET and ITIS holdings in partnership.
    26. 26)
      • (2005) Traveler information derived from cell phones begins to flow from innovative public–private partnership in baltimore.
    27. 27)
      • N. Caceres . (2005) Herramienta para la Inferencia y Actualización de Matrices OD de Movilidad a través de datos de Telefonía Celular,.

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