Fusing mobile phone data with other data sources to generate input OD matrices for transport models

OD matrices that describe mobility patterns provide major input to most transport analysis models. Since OD matrices are not yet directly observable, they are usually estimated indirectly. Data from new sources such as mobile phone records and GPS traces from mobile apps are emerging alternatives th...

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Bibliographic Details
Main Authors:	Montero Mercadé, Lídia, Ros-Roca, Xavier, Herranz, Ricardo, Barceló Bugeda, Jaime
Format:	Publication
Language:	English
Published:	Elsevier 2019
Subjects:	11 Number theory 11C Polynomials and matrices 15 Linear and multilinear algebra; matrix theory 20 Group theory and generalizations 20H Other groups of matrices Classificació AMS Group theory Grups, Teoria de Matemàtiques i estadística Matrices Matrius OD Estimation Smartphone Data Teoria de grups Teoria de nombres Traffic Assignment Àlgebra Àlgebra lineal i multilineal Àrees temàtiques de la UPC
ISSN:	2352-1457
Online Access:	Get full text
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Summary:	OD matrices that describe mobility patterns provide major input to most transport analysis models. Since OD matrices are not yet directly observable, they are usually estimated indirectly. Data from new sources such as mobile phone records and GPS traces from mobile apps are emerging alternatives that allow for cheaper and timely estimates. However, they are still hindered by weaknesses that must be studied for use as input to transportation models. This paper presents a case study using mobility data from mobile phone records, with the goal of establishing a methodology for validating the obtained OD matrices and generating the appropriate input for traffic assignment models. Spatial and temporal consistency of OD data elaborated from mobile records has been proved to be useful for transportation modelling needs. Peer Reviewed
ISSN:	2352-1457
DOI:	10.1016/j.trpro.2018.12.211