Sophisticated Traffic Lights Control using Neural Networks

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-09-15T00:31:18Z
Fecha de publicación2015-01-01
ResumenThis research work presents the previous results of implementing autonomous traffic light control system based on sophisticated agents to overcome problems like congestion, pollutant emissions and fuel consumption in modern cities. The proposed agent based approach uses back propagation neural networks to provide green light intervals according to the demand level of the intersection. The effectiveness of this proposal is tested simulating two traffic intersections. To do this, the paper also introduces a novel simulator and emission analyzer developed to run a set of tests in order to compare the presented methodology with traditional traffic control methods. Preliminary results demonstrate the efficiency of the introduced approach, offering significant mobility and environmental benefits. For example, for the first test and using observed traffic volumes, our approach increase mobility in 28% and reduce the fuel consumption in 20%.es_ES
Doihttps://doi.org/10.1109/tla.2015.7040634es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/2954
Idiomaenes_ES
EditorialInstitute of Electrical and Electronics Engineerses_ES
RelaciónIEEE Latin America Transactionses_ES
URL relacionadohttps://doi.org/10.1109/tla.2015.7040634es_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteIEEE Latin America Transactions
Palabra claveFuel efficiencyes_ES
Palabra claveIntersection (aeronautics)es_ES
Palabra claveComputer sciencees_ES
Palabra claveArtificial neural networkes_ES
Palabra claveTraffic congestiones_ES
Palabra claveControl (management)es_ES
Palabra claveSimulationes_ES
Palabra claveSet (abstract data type)es_ES
Palabra claveReal-time computinges_ES
Palabra claveEngineeringes_ES
Palabra claveTransport engineeringes_ES
Palabra claveAutomotive engineeringes_ES
ClasificaciónVehicle emissions and performancees_ES
TítuloSophisticated Traffic Lights Control using Neural Networkses_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorRocha, José Antonio Castán
AutorMartínez, Salvador Ibarra
AutorMenchaca, Julio Laria
AutorRocha, José Antonio Castánes_ES
AutorMartínez, Salvador Ibarraes_ES
AutorMenchaca, Julio Lariaes_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número1es_ES
Rango de páginas96-101es_ES
URL relacionadahttps://doi.org/10.1109/tla.2015.7040634
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen13es_ES

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