Exploring the Direct and Indirect Use of ICT Measurements in DODME (Dynamic OD Matrix Estimation)

The estimation of the network traffic state, its likely short-term evolution, the prediction of the expected travel times in a network, and the role that mobility patterns play in transport modeling is usually based on dynamic traffic models, whose main input is a dynamic origin–destination (OD) mat...

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Autores principales:	Xavier Ros-Roca, Lídia Montero, Jaume Barceló
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	OD estimation bi-level optimization derivative-free optimization stochastic perturbation stochastic approximation (SPSA) nonlinear optimization structural similarity Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/a2f77cbd94f54520af54cc0c018c101b
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spelling	oai:doaj.org-article:a2f77cbd94f54520af54cc0c018c101b2021-11-25T16:40:36ZExploring the Direct and Indirect Use of ICT Measurements in DODME (Dynamic OD Matrix Estimation)10.3390/app1122109102076-3417https://doaj.org/article/a2f77cbd94f54520af54cc0c018c101b2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10910https://doaj.org/toc/2076-3417The estimation of the network traffic state, its likely short-term evolution, the prediction of the expected travel times in a network, and the role that mobility patterns play in transport modeling is usually based on dynamic traffic models, whose main input is a dynamic origin–destination (OD) matrix that describes the time dependencies of travel patterns; this is one of the reasons that have fostered large amounts of research on the topic of estimating OD matrices from the available traffic information. The complexity of the problem, its underdetermination, and the many alternatives that it offers are other reasons that make it an appealing research topic. The availability of new traffic data measurements that were prompted by the pervasive penetration of information and communications technology (ICT) applications offers new research opportunities. This study focused on GPS tracking data and explored two alternative modeling approaches regarding how to account for this new information to solve the dynamic origin–destination matrix estimation (DODME) problem, either including it as an additional term in the formulation model or using it in a data-driven modeling method to propose new model formulations. Complementarily, independently of the approach used, a key aspect is the quality of the estimated OD, which, as recent research has made evident, is not well measured by the conventional indicators. This study also explored this problem for the proposed approaches by conducting synthetic computational experiments to control and understand the process.Xavier Ros-RocaLídia MonteroJaume BarcelóMDPI AGarticleOD estimationbi-level optimizationderivative-free optimizationstochastic perturbation stochastic approximation (SPSA)nonlinear optimizationstructural similarityTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10910, p 10910 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	OD estimation bi-level optimization derivative-free optimization stochastic perturbation stochastic approximation (SPSA) nonlinear optimization structural similarity Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	OD estimation bi-level optimization derivative-free optimization stochastic perturbation stochastic approximation (SPSA) nonlinear optimization structural similarity Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Xavier Ros-Roca Lídia Montero Jaume Barceló Exploring the Direct and Indirect Use of ICT Measurements in DODME (Dynamic OD Matrix Estimation)
description	The estimation of the network traffic state, its likely short-term evolution, the prediction of the expected travel times in a network, and the role that mobility patterns play in transport modeling is usually based on dynamic traffic models, whose main input is a dynamic origin–destination (OD) matrix that describes the time dependencies of travel patterns; this is one of the reasons that have fostered large amounts of research on the topic of estimating OD matrices from the available traffic information. The complexity of the problem, its underdetermination, and the many alternatives that it offers are other reasons that make it an appealing research topic. The availability of new traffic data measurements that were prompted by the pervasive penetration of information and communications technology (ICT) applications offers new research opportunities. This study focused on GPS tracking data and explored two alternative modeling approaches regarding how to account for this new information to solve the dynamic origin–destination matrix estimation (DODME) problem, either including it as an additional term in the formulation model or using it in a data-driven modeling method to propose new model formulations. Complementarily, independently of the approach used, a key aspect is the quality of the estimated OD, which, as recent research has made evident, is not well measured by the conventional indicators. This study also explored this problem for the proposed approaches by conducting synthetic computational experiments to control and understand the process.
format	article
author	Xavier Ros-Roca Lídia Montero Jaume Barceló
author_facet	Xavier Ros-Roca Lídia Montero Jaume Barceló
author_sort	Xavier Ros-Roca
title	Exploring the Direct and Indirect Use of ICT Measurements in DODME (Dynamic OD Matrix Estimation)
title_short	Exploring the Direct and Indirect Use of ICT Measurements in DODME (Dynamic OD Matrix Estimation)
title_full	Exploring the Direct and Indirect Use of ICT Measurements in DODME (Dynamic OD Matrix Estimation)
title_fullStr	Exploring the Direct and Indirect Use of ICT Measurements in DODME (Dynamic OD Matrix Estimation)
title_full_unstemmed	Exploring the Direct and Indirect Use of ICT Measurements in DODME (Dynamic OD Matrix Estimation)
title_sort	exploring the direct and indirect use of ict measurements in dodme (dynamic od matrix estimation)
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a2f77cbd94f54520af54cc0c018c101b
work_keys_str_mv	AT xavierrosroca exploringthedirectandindirectuseofictmeasurementsindodmedynamicodmatrixestimation AT lidiamontero exploringthedirectandindirectuseofictmeasurementsindodmedynamicodmatrixestimation AT jaumebarcelo exploringthedirectandindirectuseofictmeasurementsindodmedynamicodmatrixestimation
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Exploring the Direct and Indirect Use of ICT Measurements in DODME (Dynamic OD Matrix Estimation)

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