Evaluation of transport events with the use of big data, artificial intelligence and augmented reality techniques

The phenomenon of "smart cities" generalizes the use of Information and Communication Technologies. The generation and use of data to manage mobility is a challenge that many cities are betting on and investing in. Through the Internet of all things (IoT) and the use of sensors and mechani...

Descripción completa

Detalles Bibliográficos
Autores: Perez Diez, Fernando, Cabrerizo Sinca, Julià, Roche Vallès, David, Campos Cacheda, José Magín
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:20.500.12328/3127
Acceso en línea:http://hdl.handle.net/20.500.12328/3127
https://dx.doi.org/10.1016/j.trpro.2021.11.024
Access Level:acceso abierto
Palabra clave:Ciutats intel·ligents
Dades massives
Intel·ligència artificial
Realitat augmentada
Artificial Intelligence
Ciudades inteligentes
Grandes datos
Inteligencia artificial
Realidad aumentada
Smart cities
Big data
Augmented reality
62
id ES_8a3ded1831764ea433f8e2864a4cc67d
oai_identifier_str oai:recercat.cat:20.500.12328/3127
network_acronym_str ES
network_name_str España
repository_id_str
spelling Evaluation of transport events with the use of big data, artificial intelligence and augmented reality techniquesPerez Diez, FernandoCabrerizo Sinca, JuliàRoche Vallès, DavidCampos Cacheda, José MagínCiutats intel·ligentsDades massivesIntel·ligència artificialRealitat augmentadaArtificial IntelligenceCiudades inteligentesGrandes datosInteligencia artificialRealidad aumentadaSmart citiesBig dataAugmented reality62The phenomenon of "smart cities" generalizes the use of Information and Communication Technologies. The generation and use of data to manage mobility is a challenge that many cities are betting on and investing in. Through the Internet of all things (IoT) and the use of sensors and mechanisms for capturing information, the number of data analysis tools such as Big Data, Artificial Intelligence (AI), and Augmented Reality (AR) has increased. With the constant use of assisted process learning (Machine Learning), it’s possible to improve event interpretation through the customization of learning protocols. Repetitively trained software can identify relevant events and report changes in critical scenarios that can trigger a series of protocols. The use of artificial intelligence techniques makes it possible to automate monotonous processes and improve transport management. This article analyzes different technologies used to generate transport information and data validation. It is intended to experiment with the use of technologies in the detection of relevant facts, changes of state, and identification of events. It also measures the reliability level when detecting events, and studies the implementation of possible solutions into the transport management system, in order to assist in decision making processes.info:eu-repo/semantics/publishedVersionElsevier2021info:eu-repo/semantics/article8http://hdl.handle.net/20.500.12328/3127https://dx.doi.org/10.1016/j.trpro.2021.11.024reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésTransportation Research Procedia58;© 2021 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:20.500.12328/31272026-05-29T05:05:01Z
dc.title.none.fl_str_mv Evaluation of transport events with the use of big data, artificial intelligence and augmented reality techniques
title Evaluation of transport events with the use of big data, artificial intelligence and augmented reality techniques
spellingShingle Evaluation of transport events with the use of big data, artificial intelligence and augmented reality techniques
Perez Diez, Fernando
Ciutats intel·ligents
Dades massives
Intel·ligència artificial
Realitat augmentada
Artificial Intelligence
Ciudades inteligentes
Grandes datos
Inteligencia artificial
Realidad aumentada
Smart cities
Big data
Augmented reality
62
title_short Evaluation of transport events with the use of big data, artificial intelligence and augmented reality techniques
title_full Evaluation of transport events with the use of big data, artificial intelligence and augmented reality techniques
title_fullStr Evaluation of transport events with the use of big data, artificial intelligence and augmented reality techniques
title_full_unstemmed Evaluation of transport events with the use of big data, artificial intelligence and augmented reality techniques
title_sort Evaluation of transport events with the use of big data, artificial intelligence and augmented reality techniques
dc.creator.none.fl_str_mv Perez Diez, Fernando
Cabrerizo Sinca, Julià
Roche Vallès, David
Campos Cacheda, José Magín
author Perez Diez, Fernando
author_facet Perez Diez, Fernando
Cabrerizo Sinca, Julià
Roche Vallès, David
Campos Cacheda, José Magín
author_role author
author2 Cabrerizo Sinca, Julià
Roche Vallès, David
Campos Cacheda, José Magín
author2_role author
author
author
dc.subject.none.fl_str_mv Ciutats intel·ligents
Dades massives
Intel·ligència artificial
Realitat augmentada
Artificial Intelligence
Ciudades inteligentes
Grandes datos
Inteligencia artificial
Realidad aumentada
Smart cities
Big data
Augmented reality
62
topic Ciutats intel·ligents
Dades massives
Intel·ligència artificial
Realitat augmentada
Artificial Intelligence
Ciudades inteligentes
Grandes datos
Inteligencia artificial
Realidad aumentada
Smart cities
Big data
Augmented reality
62
description The phenomenon of "smart cities" generalizes the use of Information and Communication Technologies. The generation and use of data to manage mobility is a challenge that many cities are betting on and investing in. Through the Internet of all things (IoT) and the use of sensors and mechanisms for capturing information, the number of data analysis tools such as Big Data, Artificial Intelligence (AI), and Augmented Reality (AR) has increased. With the constant use of assisted process learning (Machine Learning), it’s possible to improve event interpretation through the customization of learning protocols. Repetitively trained software can identify relevant events and report changes in critical scenarios that can trigger a series of protocols. The use of artificial intelligence techniques makes it possible to automate monotonous processes and improve transport management. This article analyzes different technologies used to generate transport information and data validation. It is intended to experiment with the use of technologies in the detection of relevant facts, changes of state, and identification of events. It also measures the reliability level when detecting events, and studies the implementation of possible solutions into the transport management system, in order to assist in decision making processes.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12328/3127
https://dx.doi.org/10.1016/j.trpro.2021.11.024
url http://hdl.handle.net/20.500.12328/3127
https://dx.doi.org/10.1016/j.trpro.2021.11.024
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Transportation Research Procedia
58;
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 8
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869412686168588288
score 15,81155

Similares en LA Referencia