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Travel demand estimation and network assignment based on cellular network data
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5961-5136
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.
Linköping University, Department of Science and Technology. Linköping University, Faculty of Science & Engineering.
2016 (English)In: COMPUTER COMMUNICATIONS, ISSN 0140-3664, Vol. 95, p. 29-42Article in journal (Refereed) Published
Abstract [en]

Cellular networks signaling data provide means for analyzing the efficiency of an underlying transportation system and assisting the formulation of models to predict its future use. This paper describes how signaling data can be processed and used in order to act as means for generating input for traditional transportation analysis models. Specifically, we propose a tailored set of mobility metrics and a computational pipeline including trip extraction, travel demand estimation as well as route and link travel flow estimation based on Call Detail Records (CDR) from mobile phones. The results are based on the analysis of data from the Data for development "D4D" challenge and include data from Cote dlvoire and Senegal. (C) 2016 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2016. Vol. 95, p. 29-42
Keywords [en]
Mobility analytics; Travel demand estimation; Traffic modeling; Mobile phone call data; Cellular network data; Call detail records; Intelligent transport systems
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:liu:diva-134086DOI: 10.1016/j.comcom.2016.04.015ISI: 000390722300004OAI: oai:DiVA.org:liu-134086DiVA, id: diva2:1068888
Note

Funding Agencies|Swedish Governmental Agency for Innovation Systems (VINNOVA)

Available from: 2017-01-26 Created: 2017-01-22 Last updated: 2018-03-20

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Gundlegård, DavidRydergren, ClasBreyer, Nils
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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Language
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Output format
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