Reference : A Cell Dwell Time Model for Synthetic Population Generation from Call Detail Records

	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/21224

Title :	A Cell Dwell Time Model for Synthetic Population Generation from Call Detail Records
Language :	English
Author, co-author :	Derrmann, Thierry [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Frank, Raphaël [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Melakessou, Foued [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Castignani, German [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Engel, Thomas [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	8-Apr-2015
Number of pages :	9
Peer reviewed :	Yes
Audience :	International
Event name :	Netmob'15, the main conference on the scientific analysis of mobile phone datasets
Event date :	from 7-04-2015 to 10-04-2015
Event organizer :	MIT Media Lab
Event place (city) :	Boston
Event country :	USA
Keywords :	[en] D4D Challenge ; Mobility Analysis ; Cell Dwell Time Modelling
Abstract :	[en] In this work we propose a novel Cell Dwell Time Model that can be used to generate a synthetic population. We introduce two new metrics to define the attractivity of cell sites based on global and individual parameters obtained via the analysis of the Data For Development (D4D) Call Detail Records (CDR). We rely on the shortest path road network to interconnect two distant cell sites. The resulting dwell time model can be used to compute accurate user trajectories even with partial information. This work represents a first step towards the generation of a synthetic population that can be used to perform a wide range of simulative studies to evaluate and optimize transportation networks.
Research centres :	SnT
Funders :	Fonds National de la Recherche - FnR
Name of the research project :	I2R-NET-PFN-13MAMB > C13/IS/5825301 MAMBA > 01/04/2014 - 31/03/2017 > ENGEL Thomas
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/21224
Other URL :	http://netmob.org/

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