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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Autores principales: Kohan, Mariano, Ale, Juan María
Formato: Articulo
Lenguaje:Inglés
Publicado: 2015
Materias:
Ciencias Informáticas
Patterns (e.g., client/server, pipeline, blackboard)
road network
traffic flow
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/50136
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST41-Paper-6.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-50136
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
Patterns (e.g., client/server, pipeline, blackboard)
road network
traffic flow
spellingShingle Ciencias Informáticas
Patterns (e.g., client/server, pipeline, blackboard)
road network
traffic flow
Kohan, Mariano
Ale, Juan María
Representing traffic congestions on moving objects trajectories
topic_facet Ciencias Informáticas
Patterns (e.g., client/server, pipeline, blackboard)
road network
traffic flow
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 Articulo
Articulo
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/10915/50136
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST41-Paper-6.pdf
work_keys_str_mv AT kohanmariano representingtrafficcongestionsonmovingobjectstrajectories
AT alejuanmaria representingtrafficcongestionsonmovingobjectstrajectories
bdutipo_str Repositorios
_version_ 1764820475519696897

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