Transport systems analysis : models and data
Barceló, Jaume (Universitat Politècnica de Catalunya)

Fecha:	2023
Resumen:	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.
Ayudas:	Agencia Estatal de Investigación PID2020-112967GB-C31
Nota:	Funding: This research project has been funded by Spanish R+D Programs, specifcally under Grant PID2020-112967GB-C31.
Derechos:	Aquest 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.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Optimization ; Simulation ; Data Analytics ; Traffic assignment ; Traffic Simulation
Publicado en:	SORT : statistics and operations research transactions, Vol. 47 Núm. 1 (2023) , p. 3-80, ISSN 2013-8830

Adreça original: https://raco.cat/index.php/SORT/article/view/416961
DOI: 10.57645/20.8080.02.1

78 p, 49.9 MB

El registro aparece en las colecciones:
Artículos > Artículos publicados > SORT
Artículos > Artículos de investigación