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...
| Autores: | , , , |
|---|---|
| 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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article |
| dc.identifier.issn.none.fl_str_mv |
17578981 |
| dc.identifier.doi.none.fl_str_mv |
10.1088/1757-899X/758/1/012047 |
| dc.identifier.uri.none.fl_str_mv |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85082135265&origin=inward http://hdl.handle.net/10757/651737 |
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IOP Conference Series: Materials Science and Engineering |
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2-s2.0-85082135265 |
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SCOPUS_ID:85082135265 |
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0000 0001 2196 144X |
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17578981 10.1088/1757-899X/758/1/012047 IOP Conference Series: Materials Science and Engineering 2-s2.0-85082135265 SCOPUS_ID:85082135265 0000 0001 2196 144X |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85082135265&origin=inward http://hdl.handle.net/10757/651737 |
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eng |
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eng |
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IOP Conference Series: Materials Science and Engineering |
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1 |
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https://iopscience.iop.org/article/10.1088/1757-899X/758/1/012047 |
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758 |
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info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-ShareAlike 4.0 International |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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openAccess |
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Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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application/pdf |
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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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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).