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Mobility modeling for transport efficiency: Analysis of travel characteristics based on mobile phone data
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology. (Mobil telekommunikation)
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology. (Mobil telekommunikation)ORCID iD: 0000-0002-5961-5136
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology. (Trafiksystem)ORCID iD: 0000-0001-6405-5914
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology.
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2013 (English)In: Netmob 2013: Mobile phone data for development / [ed] Vincent Blondel, 2013Conference paper, Published paper (Refereed)
Abstract [en]

Signaling data from the cellular networks can provide a means of analyzing the efficiency of a deployed transportation system and assisting in the formulation of transport models to predict its future use. An approach based on this type of data can be especially appealing for transportation systems that need massive expansions, since it has the added benefit that no specialized equipment or installations are required, hence it can be very cost efficient.

Within this context in this paper we describe how such obtained data can be processed and used in order to act as enablers for traditional transportation analysis models. We outline a layered, modular architectural framework that encompasses the entire process and present results from initial analysis of mobile phone call data in the context of mobility, transport and transport infrastructure. We finally introduce the Mobility Analytics Platform, developed by Ericsson Research, tailored for mobility analysis, and discuss techniques for analyzing transport supply and demand, and give indication on how cell phone use data can be used directly to analyze the status and use of the current transport infrastructure.

Place, publisher, year, edition, pages
2013.
Keyword [en]
Mobile phone, CDR, mobiity, travel demand, analytics
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-112443OAI: oai:DiVA.org:liu-112443DiVA: diva2:766397
Conference
Netmob 2013 - Third International Conference on the Analysis of Mobile Phone Datasets, May 1-3, 2013, MIT, Cambridge, MA, USA
Available from: 2014-11-27 Created: 2014-11-27 Last updated: 2016-05-04Bibliographically approved

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Angelakis, VangelisGundlegård, DavidRydergren, ClasRajna, BotondVrotsou, Katerina

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CiteExportLink to record
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Citation style
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