MURAL - Maynooth University Research Archive Library

    Utilising Mobile Phone Billing Records for Travel Mode Discovery

    Doyle, John and Hung, Peter and Kelly, Damien and McLoone, Sean F. and Farrell, Ronan (2011) Utilising Mobile Phone Billing Records for Travel Mode Discovery. In: ISSC 2011, June 23-24 2011, Trinity College Dublin.

    [img] Download (1MB)

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    A novel methodology to infer transportation mode taken by mobile device users between regions of interest is introduced. It relies on analysing anonymised billing data, namely call detail records, supplied by mobile network operators as the primary source of user-created data. Coupled with the spatial coverage and distribution of mobile network cells and geographical route map information of major transportation modes, assumed to be partially non-overlapping, user travel paths can be predicted. Journey specific trajectories are constructed and analysed using the concept of virtual cell path for each qualified pre-processed list of activities from each unique user. After classification, kernel density paths for each route were generated both for illustration and validation purposes. Dierentiation between rail and road users travelling between Dublin and Cork in the Republic of Ireland is shown as an example application case study

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Call detail records; Transportation mode inference; Kernel density estimation; Estimated travel path;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 3649
    Depositing User: Sean McLoone
    Date Deposited: 08 May 2012 14:51
    Refereed: Yes
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

      Repository Staff Only(login required)

      View Item Item control page


      Downloads per month over past year

      Origin of downloads