Reference : Estimating Urban Road Traffic States Using Mobile Network Signaling Data
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/31779
Estimating Urban Road Traffic States Using Mobile Network Signaling Data
English
Derrmann, Thierry mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Frank, Raphaël mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Viti, Francesco mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Engel, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Oct-2017
Estimating Urban Road Traffic States Using Mobile Network Signaling Data
Derrmann, Thierry mailto
Frank, Raphaël mailto
Viti, Francesco mailto
Engel, Thomas mailto
Yes
IEEE 20th International Conference on Intelligent Transportation Systems
from 16-10-2017 to 19-10-2017
[en] It is intuitive that there is a causal relationship between human mobility and signaling events in mobile phone networks. Among these events, not only the initiation of calls and data sessions can be used in analyses, but also handovers between different locations that reflect mobility. In this work, we investigate if handovers can be used as a proxy metric for flows in the underlying road network, especially in urban environments. More precisely, we show that characteristic profiles of handovers
within and between clusters of mobile network cells exist. We base these profiles on models from road traffic flow theory, and show that they can be used for traffic state estimation using floating-car data as ground truth. The presented model can be beneficial in areas with good mobile network coverage but low road traffic counting infrastructure, e.g. in developing countries, but also serve as an additional predictor for existing traffic state monitoring systems.
http://hdl.handle.net/10993/31779

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Limited access
estimating-urban-road-itsc-derrmann.pdfAuthor preprint920.12 kBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.