Representing traffic congestions on moving objects trajectories

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The discovery of moving objects trajectory patterns representing a high traffic density have been covered on different works using diverse approaches. These models are useful for the areas of transportation planning, traffic monitoring and advertising on public roads. Besides of the important utilit...

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Detalles Bibliográficos
Autores principales:	Kohan, Mariano, Ale, Juan María
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2015
Materias:	Ciencias Informáticas moving objects trajectories road network traffic flow Movimiento red de transmisión de datos
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/50041
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-50041
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 moving objects trajectories road network traffic flow Movimiento red de transmisión de datos
spellingShingle	Ciencias Informáticas moving objects trajectories road network traffic flow Movimiento red de transmisión de datos Kohan, Mariano Ale, Juan María Representing traffic congestions on moving objects trajectories
topic_facet	Ciencias Informáticas moving objects trajectories road network traffic flow Movimiento red de transmisión de datos
description	The discovery of moving objects trajectory patterns representing a high traffic density have been covered on different works using diverse approaches. These models are useful for the areas of transportation planning, traffic monitoring and advertising on public roads. Besides of the important utility, these type of patterns usually do not specify a difference between a high traffic and a traffic congestion. In this work, we propose a model for the discovery of high traffic flow patterns and traffic congestions, represented in the same pattern. Also, as a complement, we present a model that discovers alternative paths to the severe traffic on these patterns. These proposed patterns could help to improve traffic allowing the identification of problems and possible alternatives.
format	Objeto de conferencia Objeto de conferencia
author	Kohan, Mariano Ale, Juan María
author_facet	Kohan, Mariano Ale, Juan María
author_sort	Kohan, Mariano
title	Representing traffic congestions on moving objects trajectories
title_short	Representing traffic congestions on moving objects trajectories
title_full	Representing traffic congestions on moving objects trajectories
title_fullStr	Representing traffic congestions on moving objects trajectories
title_full_unstemmed	Representing traffic congestions on moving objects trajectories
title_sort	representing traffic congestions on moving objects trajectories
publishDate	2015
url	http://sedici.unlp.edu.ar/handle/10915/50041
work_keys_str_mv	AT kohanmariano representingtrafficcongestionsonmovingobjectstrajectories AT alejuanmaria representingtrafficcongestionsonmovingobjectstrajectories
bdutipo_str	Repositorios
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Representing traffic congestions on moving objects trajectories

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