Transport systems analysis

Rapid advancements in new technologies, especially information and communication technologies (ICT), have significantly increased the number of sensors that capture data, namely those embedded in mobile devices. This wealth of data has garnered particular interest in analyzing transport systems, wit...

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Author: Barceló, Jaume|||0000-0001-6195-6434
Format: article
Publication Date:2023
Country:España
Institution:Universitat Autònoma de Barcelona
Repository:Dipòsit Digital de Documents de la UAB
Language:English
OAI Identifier:oai:ddd.uab.cat:276045
Online Access:https://ddd.uab.cat/record/276045
https://dx.doi.org/urn:doi:10.57645/20.8080.02.1
Access Level:Open access
Keyword:Optimization
Simulation
Data Analytics
Traffic assignment
Traffic Simulation
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spelling Transport systems analysismodels and dataBarceló, Jaume|||0000-0001-6195-6434OptimizationSimulationData AnalyticsTraffic assignmentTraffic SimulationRapid advancements in new technologies, especially information and communication technologies (ICT), have significantly increased the number of sensors that capture data, namely those embedded in mobile devices. This wealth of data has garnered particular interest in analyzing transport systems, with some researchers arguing that the data alone are sufficient enough to render transport models unnecessary. However, this paper takes a contrary position and holds that models and data are not mutually exclusive but rather depend upon each other. Transport models are built upon established families of optimization and simulation approaches, and their development aligns with the scientific principles of operations research, which involves acquiring knowledge to derive modeling hypotheses. We provide an overview of these modeling principles and their application to transport systems, presenting numerous models that vary according to study objectives and corresponding modeling hypotheses. The data required for building, calibrating, and validating selected models are discussed, along with examples of using data analytics techniques to collect and handle the data supplied by ICT applications. The paper concludes with some comments on current and future trends. 22023-01-0120232023-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/276045https://dx.doi.org/urn:doi:10.57645/20.8080.02.1reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengAgencia Estatal de Investigación https://doi.org/10.13039/501100011033 PID2020-112967GB-C31open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2760452026-06-06T12:50:31Z
dc.title.none.fl_str_mv Transport systems analysis
models and data
title Transport systems analysis
spellingShingle Transport systems analysis
Barceló, Jaume|||0000-0001-6195-6434
Optimization
Simulation
Data Analytics
Traffic assignment
Traffic Simulation
title_short Transport systems analysis
title_full Transport systems analysis
title_fullStr Transport systems analysis
title_full_unstemmed Transport systems analysis
title_sort Transport systems analysis
dc.creator.none.fl_str_mv Barceló, Jaume|||0000-0001-6195-6434
author Barceló, Jaume|||0000-0001-6195-6434
author_facet Barceló, Jaume|||0000-0001-6195-6434
author_role author
dc.subject.none.fl_str_mv Optimization
Simulation
Data Analytics
Traffic assignment
Traffic Simulation
topic Optimization
Simulation
Data Analytics
Traffic assignment
Traffic Simulation
description Rapid advancements in new technologies, especially information and communication technologies (ICT), have significantly increased the number of sensors that capture data, namely those embedded in mobile devices. This wealth of data has garnered particular interest in analyzing transport systems, with some researchers arguing that the data alone are sufficient enough to render transport models unnecessary. However, this paper takes a contrary position and holds that models and data are not mutually exclusive but rather depend upon each other. Transport models are built upon established families of optimization and simulation approaches, and their development aligns with the scientific principles of operations research, which involves acquiring knowledge to derive modeling hypotheses. We provide an overview of these modeling principles and their application to transport systems, presenting numerous models that vary according to study objectives and corresponding modeling hypotheses. The data required for building, calibrating, and validating selected models are discussed, along with examples of using data analytics techniques to collect and handle the data supplied by ICT applications. The paper concludes with some comments on current and future trends.
publishDate 2023
dc.date.none.fl_str_mv 2
2023-01-01
2023
2023-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
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https://dx.doi.org/urn:doi:10.57645/20.8080.02.1
url https://ddd.uab.cat/record/276045
https://dx.doi.org/urn:doi:10.57645/20.8080.02.1
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 PID2020-112967GB-C31
dc.rights.none.fl_str_mv open access
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dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
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