Traffic control based on intelligent agents
| Audiencia | Público en general | es_ES |
| Cobertura | México | es_ES |
| Fecha de ingreso | 2026-09-15T00:31:19Z | |
| Fecha de publicación | 2014-12-01 | |
| Resumen | Agent technology has been demonstrated to be an advance computational science capable to achieve substantial improvements in a cover range of applications because of its paradigm of decision-making structure based on cognitive reasoning. In this sense, the paper introduces the development of a novel methodology that allows including a formal model founded on autonomous and intelligent agents capable to manipulate the phases of the cycles in a traffic lights infrastructure according to the requirements and constraints of the road. This process improves effectively and immediately the quality of the service in an intersection, increasing the performance of the vehicular mobility and the generation of emissions, when vehicles are stopped in a red light. To corroborate this, the article presents some experiments in order to compare the proposed methodology against a preManuscrito recibido 18 de marzo de 2014, aceptado para su publicacion 27 de abril de 2014, publicado el 15 de noviembre de 2014. Jose A. Castan (autor correspondiente), Salvador Ibarra, Julio Laria y Javier Guzman estan afiliados a la Universidad Autonoma de Tamaulipas, Facultad de Ingenieria “Arturo Narro Siller”, Tamaulipas, Mexico (correo: {jacastan, sibarram, jlaria, jguzmano}@uat.edu.mx). Emilio Castan esta afiliado con el Instituto Tecnologico de Ciudad Madero, Mexico (correo: ecastan@yahoo.com.mx). programmed infrastructure. Finally, conclusions are presented to emphasize the effectiveness and usefulness of the developed methodology whit the main intention of achieving an adequate traffic control of an expanding city. | es_ES |
| URI | https://riuat.uat.edu.mx/handle/123456789/2980 | |
| Idioma | en | es_ES |
| Relación | Polibits | es_ES |
| URL relacionado | https://www.redalyc.org/pdf/4026/402640464010.pdf | es_ES |
| Derechos | Acceso restringido / Suscripción (Metadatos de producción científica) | es_ES |
| Licencia | http://purl.org/coar/access_right/c_16ec | es_ES |
| Fuente | Polibits | |
| Palabra clave | Intersection (aeronautics) | es_ES |
| Palabra clave | Computer science | es_ES |
| Palabra clave | Control (management) | es_ES |
| Palabra clave | Intelligent transportation system | es_ES |
| Palabra clave | Process (computing) | es_ES |
| Palabra clave | Humanities | es_ES |
| Palabra clave | Artificial intelligence | es_ES |
| Palabra clave | Transport engineering | es_ES |
| Palabra clave | Engineering | es_ES |
| Palabra clave | Art | es_ES |
| Palabra clave | Operating system | es_ES |
| Clasificación | Traffic control and management | es_ES |
| Título | Traffic control based on intelligent agents | es_ES |
| Tipo | Artículo | es_ES |
| Arbitrado | Ha sido Arbitrado | es_ES |
| Autor | Castán, José | |
| Autor | Ibarra, Salvador | |
| Autor | Laria, Julio | |
| Autor | Guzmán, Javier | |
| Autor | Castán, Emilio | |
| Autor | Castán, José | es_ES |
| Autor | Ibarra, Salvador | es_ES |
| Autor | Laria, Julio | es_ES |
| Autor | Guzmán, Javier | es_ES |
| Autor | Castán, Emilio | es_ES |
| Institución | Universidad Autónoma de Tamaulipas | |
| Institución | Universidad Autónoma de Tamaulipas | es_ES |
| Número | 50 | es_ES |
| Rango de páginas | 61-68 | es_ES |
| URL relacionada | https://www.redalyc.org/pdf/4026/402640464010.pdf | |
| Tipo de artículo | Indexado | |
| Tipo de artículo | Indexado | es_ES |