Optimal control based heuristic for congestion reduction in traffic networks
- Autores
- Mayorano, Fernando Javier; Rubiales, Aldo José; Lotito, Pablo Andrés
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The principal purpose of this work is to test the TUC strategy in a simple case using a micro-simulator designed ad hoc, previous to its real implementation. Using concepts of traffic engineering we describe a well known dynamic linear model of traffic flow in a urban traffic network that is controlled using the traffic-light times. This simplified model allows to obtain a Riccati feedback matrix and compute traffic-light times that will improve the congestion levels. We present some numerical experiments made with the model on an academic example and we validated them with a microscopic simulator that we have created based on Car Following theory and discrete event models.
- Materia
-
Ciencias de la Computación
Optimal Control
LQ-Control
Urban traffic models - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc/4.0/
- Repositorio
.jpg)
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/3997
Ver los metadatos del registro completo
| id |
CICBA_eb4d1d51783286a7e555a57dfc2b1203 |
|---|---|
| oai_identifier_str |
oai:digital.cic.gba.gob.ar:11746/3997 |
| network_acronym_str |
CICBA |
| repository_id_str |
9441 |
| network_name_str |
CIC Digital (CICBA) |
| spelling |
Optimal control based heuristic for congestion reduction in traffic networksMayorano, Fernando JavierRubiales, Aldo JoséLotito, Pablo AndrésCiencias de la ComputaciónOptimal ControlLQ-ControlUrban traffic modelsThe principal purpose of this work is to test the TUC strategy in a simple case using a micro-simulator designed ad hoc, previous to its real implementation. Using concepts of traffic engineering we describe a well known dynamic linear model of traffic flow in a urban traffic network that is controlled using the traffic-light times. This simplified model allows to obtain a Riccati feedback matrix and compute traffic-light times that will improve the congestion levels. We present some numerical experiments made with the model on an academic example and we validated them with a microscopic simulator that we have created based on Car Following theory and discrete event models.UNS Printing Office2013info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/3997enginfo:eu-repo/semantics/altIdentifier/issn/0327-0793info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-10-16T09:27:01Zoai:digital.cic.gba.gob.ar:11746/3997Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-10-16 09:27:02.18CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse |
| dc.title.none.fl_str_mv |
Optimal control based heuristic for congestion reduction in traffic networks |
| title |
Optimal control based heuristic for congestion reduction in traffic networks |
| spellingShingle |
Optimal control based heuristic for congestion reduction in traffic networks Mayorano, Fernando Javier Ciencias de la Computación Optimal Control LQ-Control Urban traffic models |
| title_short |
Optimal control based heuristic for congestion reduction in traffic networks |
| title_full |
Optimal control based heuristic for congestion reduction in traffic networks |
| title_fullStr |
Optimal control based heuristic for congestion reduction in traffic networks |
| title_full_unstemmed |
Optimal control based heuristic for congestion reduction in traffic networks |
| title_sort |
Optimal control based heuristic for congestion reduction in traffic networks |
| dc.creator.none.fl_str_mv |
Mayorano, Fernando Javier Rubiales, Aldo José Lotito, Pablo Andrés |
| author |
Mayorano, Fernando Javier |
| author_facet |
Mayorano, Fernando Javier Rubiales, Aldo José Lotito, Pablo Andrés |
| author_role |
author |
| author2 |
Rubiales, Aldo José Lotito, Pablo Andrés |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Ciencias de la Computación Optimal Control LQ-Control Urban traffic models |
| topic |
Ciencias de la Computación Optimal Control LQ-Control Urban traffic models |
| dc.description.none.fl_txt_mv |
The principal purpose of this work is to test the TUC strategy in a simple case using a micro-simulator designed ad hoc, previous to its real implementation. Using concepts of traffic engineering we describe a well known dynamic linear model of traffic flow in a urban traffic network that is controlled using the traffic-light times. This simplified model allows to obtain a Riccati feedback matrix and compute traffic-light times that will improve the congestion levels. We present some numerical experiments made with the model on an academic example and we validated them with a microscopic simulator that we have created based on Car Following theory and discrete event models. |
| description |
The principal purpose of this work is to test the TUC strategy in a simple case using a micro-simulator designed ad hoc, previous to its real implementation. Using concepts of traffic engineering we describe a well known dynamic linear model of traffic flow in a urban traffic network that is controlled using the traffic-light times. This simplified model allows to obtain a Riccati feedback matrix and compute traffic-light times that will improve the congestion levels. We present some numerical experiments made with the model on an academic example and we validated them with a microscopic simulator that we have created based on Car Following theory and discrete event models. |
| publishDate |
2013 |
| dc.date.none.fl_str_mv |
2013 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://digital.cic.gba.gob.ar/handle/11746/3997 |
| url |
https://digital.cic.gba.gob.ar/handle/11746/3997 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/issn/0327-0793 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc/4.0/ |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc/4.0/ |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
UNS Printing Office |
| publisher.none.fl_str_mv |
UNS Printing Office |
| dc.source.none.fl_str_mv |
reponame:CIC Digital (CICBA) instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires instacron:CICBA |
| reponame_str |
CIC Digital (CICBA) |
| collection |
CIC Digital (CICBA) |
| instname_str |
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
| instacron_str |
CICBA |
| institution |
CICBA |
| repository.name.fl_str_mv |
CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
| repository.mail.fl_str_mv |
marisa.degiusti@sedici.unlp.edu.ar |
| _version_ |
1846142611027394560 |
| score |
12.712165 |