Vehicular Flow Analysis Using Clusters

The volume of vehicular traffic in large cities has increased in recent years, causing mobility problems, which is why the analysis of vehicular flow data becomes important for researchers. Intelligent Transportation Systems perform vehicle monitoring and control by collecting GPS trajectories, info...

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Detalles Bibliográficos
Autores principales: Reyes, Gary, Lanzarini, Laura Cristina, Estrebou, César Armando, Maquilón, Víctor
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2021
Materias:
Ciencias Informáticas
Vehicular flow
Cluster
GPS trajectory
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/130341
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-130341
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
Vehicular flow
Cluster
GPS trajectory
spellingShingle Ciencias Informáticas
Vehicular flow
Cluster
GPS trajectory
Reyes, Gary
Lanzarini, Laura Cristina
Estrebou, César Armando
Maquilón, Víctor
Vehicular Flow Analysis Using Clusters
topic_facet Ciencias Informáticas
Vehicular flow
Cluster
GPS trajectory
description The volume of vehicular traffic in large cities has increased in recent years, causing mobility problems, which is why the analysis of vehicular flow data becomes important for researchers. Intelligent Transportation Systems perform vehicle monitoring and control by collecting GPS trajectories, information that provides real-time geographic location of vehicles, which allows the identification of patterns on vehicle flow using clustering techniques. This paper presents a methodology capable of analyzing vehicular flow in a given area, identifying speed ranges and maintaining an updated interactive map that facilitates the identification of areas of possible traffic jams. The results obtained on a dataset from the city of Guayaquil-Ecuador are satisfactory and clearly represent the speed of vehicle displacement by automatically identifying the most representative ranges for each instant of time.
format Objeto de conferencia
Objeto de conferencia
author Reyes, Gary
Lanzarini, Laura Cristina
Estrebou, César Armando
Maquilón, Víctor
author_facet Reyes, Gary
Lanzarini, Laura Cristina
Estrebou, César Armando
Maquilón, Víctor
author_sort Reyes, Gary
title Vehicular Flow Analysis Using Clusters
title_short Vehicular Flow Analysis Using Clusters
title_full Vehicular Flow Analysis Using Clusters
title_fullStr Vehicular Flow Analysis Using Clusters
title_full_unstemmed Vehicular Flow Analysis Using Clusters
title_sort vehicular flow analysis using clusters
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/130341
work_keys_str_mv AT reyesgary vehicularflowanalysisusingclusters
AT lanzarinilauracristina vehicularflowanalysisusingclusters
AT estreboucesararmando vehicularflowanalysisusingclusters
AT maquilonvictor vehicularflowanalysisusingclusters
bdutipo_str Repositorios
_version_ 1764820453299322881

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