Dynamic grouping of vehicle trajectories

Vehicular traffic volume in large cities has increased in recent years, causing mobility problems; therefore, the analysis of vehicle flow data becomes a relevant research topic. Intelligent Transportation Systems monitor and control vehicular movements by collecting GPS trajectories, which provides...

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Detalles Bibliográficos
Autores principales:	Reyes, Gary, Lanzarini, Laura Cristina, Estrebou, César Armando, Fernández Bariviera, Aurelio
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2022
Materias:	Ciencias Informáticas Dynamic clustering Data stream Vehicular trajectories Agrupamiento dinámico Flujo de datos Trayectorias vehiculares
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/146927
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-146927
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Dynamic clustering Data stream Vehicular trajectories Agrupamiento dinámico Flujo de datos Trayectorias vehiculares
spellingShingle	Ciencias Informáticas Dynamic clustering Data stream Vehicular trajectories Agrupamiento dinámico Flujo de datos Trayectorias vehiculares Reyes, Gary Lanzarini, Laura Cristina Estrebou, César Armando Fernández Bariviera, Aurelio Dynamic grouping of vehicle trajectories
topic_facet	Ciencias Informáticas Dynamic clustering Data stream Vehicular trajectories Agrupamiento dinámico Flujo de datos Trayectorias vehiculares
description	Vehicular traffic volume in large cities has increased in recent years, causing mobility problems; therefore, the analysis of vehicle flow data becomes a relevant research topic. Intelligent Transportation Systems monitor and control vehicular movements by collecting GPS trajectories, which provides the geographic location of vehicles in real time. Thus information is processed using clustering techniques to identify vehicular flow patterns. This work presents a methodology capable of analyzing the vehicular flow in a given area, identifying speed ranges and keeping an interactive map updated that facilitates the identification of possible traffic jam areas. The obtained results on three data sets from the cities of Guayaquil-Ecuador, Rome- Italy and Beijing-China are satisfactory and clearly represent the speed of movement of the vehicles, automatically identifying the most representative ranges in real time.
format	Articulo Articulo
author	Reyes, Gary Lanzarini, Laura Cristina Estrebou, César Armando Fernández Bariviera, Aurelio
author_facet	Reyes, Gary Lanzarini, Laura Cristina Estrebou, César Armando Fernández Bariviera, Aurelio
author_sort	Reyes, Gary
title	Dynamic grouping of vehicle trajectories
title_short	Dynamic grouping of vehicle trajectories
title_full	Dynamic grouping of vehicle trajectories
title_fullStr	Dynamic grouping of vehicle trajectories
title_full_unstemmed	Dynamic grouping of vehicle trajectories
title_sort	dynamic grouping of vehicle trajectories
publishDate	2022
url	http://sedici.unlp.edu.ar/handle/10915/146927
work_keys_str_mv	AT reyesgary dynamicgroupingofvehicletrajectories AT lanzarinilauracristina dynamicgroupingofvehicletrajectories AT estreboucesararmando dynamicgroupingofvehicletrajectories AT fernandezbarivieraaurelio dynamicgroupingofvehicletrajectories AT reyesgary agrupamientodinamicodetrayectoriasvehiculares AT lanzarinilauracristina agrupamientodinamicodetrayectoriasvehiculares AT estreboucesararmando agrupamientodinamicodetrayectoriasvehiculares AT fernandezbarivieraaurelio agrupamientodinamicodetrayectoriasvehiculares
bdutipo_str	Repositorios
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Dynamic grouping of vehicle trajectories

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