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Cellpath Routing and Route Traffic Flow Estimation Based on Cellular Network Data
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-0353-6284
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-6405-5914
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5961-5136
2017 (English)In: The Journal of urban technology, ISSN 1063-0732, E-ISSN 1466-1853, p. 1-20Article in journal (Refereed) Epub ahead of print
Abstract [en]

The signaling data in cellular networks provide means for analyzing the use of transportation systems. We propose methods that aim to reconstruct the used route through a transportation network from call detail records (CDRs) which are spatially and temporally sparse. The route estimation methods are compared based on the individual routes estimated. We also investigate the effect of different route estimation methods when employed in a complete network assignment for a larger city. Using an available CDR dataset for Dakar, Senegal, we show that the choice of the route estimation method can have a significant impact on resulting link flows.

Place, publisher, year, edition, pages
Taylor & Francis, 2017. p. 1-20
Keyword [en]
Cellular network data, route estimation, network assignment
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-144541DOI: 10.1080/10630732.2017.1386939OAI: oai:DiVA.org:liu-144541DiVA: diva2:1177906
Available from: 2018-01-26 Created: 2018-01-26 Last updated: 2018-02-01

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Breyer, NilsRydergren, ClasGundlegård, David

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  • nn-NB
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Output format
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  • asciidoc
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