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http://www.ru.iimas.unam.mx/handle/IIMAS_UNAM/ART29
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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Gershenson, Carlos | - |
dc.contributor.author | Rosenblueth Laguette, David Arturo | - |
dc.coverage.spatial | US | - |
dc.creator | Zapotecatl, Jorge L. | - |
dc.date.accessioned | 2021-11-17T03:32:20Z | - |
dc.date.available | 2021-11-17T03:32:20Z | - |
dc.date.issued | 2017-05-30 | - |
dc.identifier.citation | Zapotecatl, J. L., Rosenblueth, D. A. & Gershenson, C. (2017). Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata. Complexity. Article ID 7691370, 15 pages. doi: 10.1155/2017/7691370 | - |
dc.identifier.uri | http://www.ru.iimas.unam.mx/handle/IIMAS_UNAM/ART29 | - |
dc.description.abstract | Self-organizing traffic lights have shown considerable improvements compared to traditional methods in computer simulations. Self-organizing methods, however, use sophisticated sensors, increasing their cost and limiting their deployment. We propose a novel approach using simple sensors to achieve self-organizing traffic light coordination. The proposed approach involves placing a computer and a presence sensor at the beginning of each block; each such sensor detects a single vehicle. Each computer builds a virtual environment simulating vehicle movement to predict arrivals and departures at the downstream intersection. At each intersection, a computer receives information across a data network from the computers of the neighboring blocks and runs a self-organizing method to control traffic lights. Our simulations showed a superior performance for our approach compared with a traditional method (a green wave) and a similar performance (close to optimal) compared with a self-organizing method using sophisticated sensors but at a lower cost. Moreover, the developed sensing approach exhibited greater robustness against sensor failures. | - |
dc.format | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Hindawi | - |
dc.rights | openAccess | - |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0 | - |
dc.source | Complexity (1076-2787), Article ID 7691370, 15 pages, (2017) | - |
dc.subject | Cellular Automata | - |
dc.subject | Computer simulations | - |
dc.subject | Self-organizing methods | - |
dc.subject | Sensors | - |
dc.subject.classification | Ciencias Físico Matemáticas y Ciencias de la Tierra | - |
dc.title | Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata | - |
dc.type | article | - |
dc.type | publishedVersion | - |
dcterms.creator | ROSENBLUETH LAGUETTE, DAVID ARTURO::cvu::11043 | - |
dcterms.creator | Zapotecatl, Jorge L.::orcid::0000-0003-4472-5903 | - |
dcterms.creator | GERSHENSON GARCIA, CARLOS::cvu::39196 | - |
dc.audience | researchers | - |
dc.audience | students | - |
dc.audience | teachers | - |
dc.identifier.doi | http://dx.doi.org/10.1155/2017/7691370 | - |
dc.relation.ispartofjournal | https://www.hindawi.com/journals/complexity/contents/year/2017/ | - |
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Texto completo:
Archivo | Descripción | Tamaño | Formato | |
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ART29.pdf | ART29.pdf | 6.15 MB | Adobe PDF | Visualizar/Abrir |
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