Methodology for determining optimized traffic light cycles based on simulation

Descripción del Articulo

In large urbanized cities, a major problem that affects the economy and health of all citizens is vehicular congestion. This is because the traffic light cycles are not adequate. In the present study, we seek to optimize traffic light cycles based on simulation, in order to improve vehicle flow. For...

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Detalles Bibliográficos
Autores: Rivera, G., Velasquez, L., Bravo, A., Minano, P.
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/651737
Enlace del recurso:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85082135265&origin=inward
http://hdl.handle.net/10757/651737
Nivel de acceso:acceso abierto
Materia:Traffic light
Simulation
Vehicular congestion
Vehicle flow
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dc.title.en_US.fl_str_mv Methodology for determining optimized traffic light cycles based on simulation
title Methodology for determining optimized traffic light cycles based on simulation
spellingShingle Methodology for determining optimized traffic light cycles based on simulation
Rivera, G.
Traffic light
Simulation
Vehicular congestion
Vehicle flow
title_short Methodology for determining optimized traffic light cycles based on simulation
title_full Methodology for determining optimized traffic light cycles based on simulation
title_fullStr Methodology for determining optimized traffic light cycles based on simulation
title_full_unstemmed Methodology for determining optimized traffic light cycles based on simulation
title_sort Methodology for determining optimized traffic light cycles based on simulation
dc.creator.none.fl_str_mv Rivera, G.
author Rivera, G.
author_facet Rivera, G.
Velasquez, L.
Bravo, A.
Minano, P.
author_role author
author2 Velasquez, L.
Bravo, A.
Minano, P.
author2_role author
author
author
dc.contributor.author.fl_str_mv Rivera, G.
Velasquez, L.
Bravo, A.
Minano, P.
dc.subject.en_US.fl_str_mv Traffic light
Simulation
Vehicular congestion
Vehicle flow
topic Traffic light
Simulation
Vehicular congestion
Vehicle flow
description In large urbanized cities, a major problem that affects the economy and health of all citizens is vehicular congestion. This is because the traffic light cycles are not adequate. In the present study, we seek to optimize traffic light cycles based on simulation, in order to improve vehicle flow. For this, the PTV Vissim 9.0 software was used as a simulator and the Synchro 10.0 software to determine the initial optimal traffic light cycle. Through several runs and having as variables the length of queues, delay times and the average speed, the optimal traffic light cycle could be found for the study area. The results obtained reflect a 14% reduction in delay times and 10% in queue lengths. On the other hand, the average vehicle speed increased by 10.56%. All this represents an improvement in the service level of the study intersections.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-04-21T21:01:53Z
dc.date.available.none.fl_str_mv 2020-04-21T21:01:53Z
dc.date.issued.fl_str_mv 2020-02-28
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.issn.none.fl_str_mv 17578981
dc.identifier.doi.none.fl_str_mv 10.1088/1757-899X/758/1/012047
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dc.identifier.journal.en_US.fl_str_mv IOP Conference Series: Materials Science and Engineering
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10.1088/1757-899X/758/1/012047
IOP Conference Series: Materials Science and Engineering
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dc.publisher.en_US.fl_str_mv Institute of Physics Publishing
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Through several runs and having as variables the length of queues, delay times and the average speed, the optimal traffic light cycle could be found for the study area. The results obtained reflect a 14% reduction in delay times and 10% in queue lengths. On the other hand, the average vehicle speed increased by 10.56%. 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