Origin-Destination estimation using mobile network probe data
Patrick Bonnel,
Mariem Fekih and
Smoreda Zbigniew
Additional contact information
Mariem Fekih: Orange Labs TECH / SENSE / RTE - Telecom Orange
Smoreda Zbigniew: Transportation Research Institute (IMOB) - UHasselt - Hasselt University
Post-Print from HAL
Abstract:
Mobile phone operators produce enormous amounts of data. In this paper we 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 we obtain somewhat similar origin-destination matrix, with a slope close to one when we regress the number of trips of each origin-destination from mobile phone data with household survey data.
Keywords: origin-destination matrix; mobile phone data; travel survey; passive data; Rhône-Alpes (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (7)
Published in Transportation Research Procedia, 2018, 32, pp.69-81. ⟨10.1016/j.trpro.2018.10.013⟩
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-02114628
DOI: 10.1016/j.trpro.2018.10.013
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().