Origin-Destination estimation using mobile network probe data
Mobile phone operators produce enormous amounts of data. In this paper the authors present applications performed with a dataset (probe data) collected by the operator Orange in 2017 in Rhône Alpes Region, France. Trips are deduced from the spatio-temporal trajectory of devices through a hypothesis of stationarity in order to define activities. Trips are then aggregated in an origin-destination matrix which is compared with traditional data (household travel survey). With some hypothesis the authors obtain somewhat similar origin-destination matrix, with a slope close to one when they regress the number of trips of each origin-destination from mobile phone data with household survey data.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
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Supplemental Notes:
- © 2018 Patrick Bonnel et al. Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
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Authors:
- Bonnel, Patrick
- Fekih, Mariem
- Smoreda, Zbigniew
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Conference:
- 11th International Conference on Transport Survey Methods
- Location: Estérel Québec, Canada
- Date: 2017-9-24 to 2017-9-29
- Publication Date: 2018
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 69-81
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Serial:
- Transportation Research Procedia
- Volume: 32
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2352-1465
- Serial URL: http://www.sciencedirect.com/science/journal/23521465/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Estimating; Origin and destination; Travel surveys
- Uncontrolled Terms: Mobile phone data ; Passive data streams
- Geographic Terms: Rhone-Alpes (France)
- Subject Areas: Highways; Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01686331
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 24 2018 5:29PM