Control adaptativo para optimizar una intersección semafórica basado en un sistema embebido
In order to optimize the traffic flow on a road intersection, an adaptive control algorithm and a data base were designed; both components were hosted on a Raspberry Pi B+ embedded system. The data base helps to debug the performance of the controller. The efficiency of the algorithm was assessed us...
- Autores:
-
Celis-Peñaranda, Jose M
Escobar Amado, Christian David
Sepulveda-Mora, Sergio B
Castro Casadiego, Sergio
Medina Delgado, Byron
Ramirez Mateus, Jhon Jairo
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2016
- Institución:
- Universidad Francisco de Paula Santander
- Repositorio:
- Repositorio Digital UFPS
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.ufps.edu.co:ufps/903
- Acceso en línea:
- http://repositorio.ufps.edu.co/handle/ufps/903
https://doi.org/10.17230/ingciencia.12.24.8
- Palabra clave:
- Base de datos
control adaptativo
instrumentación virtual
Intersección semafórica
sistema embebido
Data base
adaptive control
virtual instrumentation
traffic light
embedded system
- Rights
- openAccess
- License
- This work is licensed under a Creative Commons Attribution 4.0 International License.
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| dc.title.spa.fl_str_mv |
Control adaptativo para optimizar una intersección semafórica basado en un sistema embebido |
| dc.title.eng.fl_str_mv |
Adaptive Control for Optimizing a Traffic Light Intersection Based on an Embedded System |
| title |
Control adaptativo para optimizar una intersección semafórica basado en un sistema embebido |
| spellingShingle |
Control adaptativo para optimizar una intersección semafórica basado en un sistema embebido Base de datos control adaptativo instrumentación virtual Intersección semafórica sistema embebido Data base adaptive control virtual instrumentation traffic light embedded system |
| title_short |
Control adaptativo para optimizar una intersección semafórica basado en un sistema embebido |
| title_full |
Control adaptativo para optimizar una intersección semafórica basado en un sistema embebido |
| title_fullStr |
Control adaptativo para optimizar una intersección semafórica basado en un sistema embebido |
| title_full_unstemmed |
Control adaptativo para optimizar una intersección semafórica basado en un sistema embebido |
| title_sort |
Control adaptativo para optimizar una intersección semafórica basado en un sistema embebido |
| dc.creator.fl_str_mv |
Celis-Peñaranda, Jose M Escobar Amado, Christian David Sepulveda-Mora, Sergio B Castro Casadiego, Sergio Medina Delgado, Byron Ramirez Mateus, Jhon Jairo |
| dc.contributor.author.none.fl_str_mv |
Celis-Peñaranda, Jose M Escobar Amado, Christian David Sepulveda-Mora, Sergio B Castro Casadiego, Sergio Medina Delgado, Byron Ramirez Mateus, Jhon Jairo |
| dc.subject.proposal.spa.fl_str_mv |
Base de datos control adaptativo instrumentación virtual Intersección semafórica sistema embebido |
| topic |
Base de datos control adaptativo instrumentación virtual Intersección semafórica sistema embebido Data base adaptive control virtual instrumentation traffic light embedded system |
| dc.subject.proposal.eng.fl_str_mv |
Data base adaptive control virtual instrumentation traffic light embedded system |
| description |
In order to optimize the traffic flow on a road intersection, an adaptive control algorithm and a data base were designed; both components were hosted on a Raspberry Pi B+ embedded system. The data base helps to debug the performance of the controller. The efficiency of the algorithm was assessed using a virtual instrument, which emulated a traffic light intersection in the city of Cucuta, i. e., the magnetorresistive sensors, the activation process of the traffic lights and the traffic flow. By processing and updating the times assigned to the traffic lights, the traffic flow was increased up to 5.5 % and the maximum time a vehicle has to wait before passing through the traffic light was decreased up to 28 seconds. Aditionally the length of line was diminished up to 18 %. Based on this case study, it can be inferred that is possible to integrate the adaptive control and the embedded systems as software and hardware tools to improve the operation of traffic control systems. |
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2016 |
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2016-11-22 |
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2021-11-11T20:05:55Z |
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2021-11-11T20:05:55Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_6501 |
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Text |
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http://repositorio.ufps.edu.co/handle/ufps/903 |
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https://doi.org/10.17230/ingciencia.12.24.8 |
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http://repositorio.ufps.edu.co/handle/ufps/903 https://doi.org/10.17230/ingciencia.12.24.8 |
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spa |
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spa |
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Ingeniería y ciencia |
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Vol.12 No.24.(2016) |
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193 |
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24(2016) |
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169 |
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12 |
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Celis-Peñaranda, J., Escobar-Amado, C., Sepulveda-Mora, S., Castro-Casadiego, S., Medina-Delgado, B., & Ramírez-Mateus, J. (2016). Adaptive Control for Optimizing a Traffic Light Intersection Based on an Embedded System. Ingeniería Y Ciencia, 12(24), 169-193. https://doi.org/10.17230/ingciencia.12.24.8 |
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Ingeniería y ciencia |
| dc.rights.eng.fl_str_mv |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
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http://purl.org/coar/access_right/c_abf2 |
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info:eu-repo/semantics/openAccess |
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Atribución 4.0 Internacional (CC BY 4.0) |
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This work is licensed under a Creative Commons Attribution 4.0 International License. Atribución 4.0 Internacional (CC BY 4.0) http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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25 páginas |
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application/pdf |
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Ingeniería y ciencia |
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Colombia |
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https://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/3458 |
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Universidad Francisco de Paula Santander |
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Celis-Peñaranda, Jose M9ba65d3009dcbb0a36f1820bab7e40d6Escobar Amado, Christian David9f62f246d163441cfecb47f9a1dcb6c0600Sepulveda-Mora, Sergio Be20bfa4d9194f4e8a7ce3a716ffe728fCastro Casadiego, Sergio 539e8559e348f010cc825d040aecc665600Medina Delgado, Byron77a81f47bf20466c22fcea2d1e82a753600Ramirez Mateus, Jhon Jairocf27580f0a8d58c85ac2df83330de4856002021-11-11T20:05:55Z2021-11-11T20:05:55Z2016-11-22http://repositorio.ufps.edu.co/handle/ufps/903https://doi.org/10.17230/ingciencia.12.24.8In order to optimize the traffic flow on a road intersection, an adaptive control algorithm and a data base were designed; both components were hosted on a Raspberry Pi B+ embedded system. The data base helps to debug the performance of the controller. The efficiency of the algorithm was assessed using a virtual instrument, which emulated a traffic light intersection in the city of Cucuta, i. e., the magnetorresistive sensors, the activation process of the traffic lights and the traffic flow. By processing and updating the times assigned to the traffic lights, the traffic flow was increased up to 5.5 % and the maximum time a vehicle has to wait before passing through the traffic light was decreased up to 28 seconds. Aditionally the length of line was diminished up to 18 %. Based on this case study, it can be inferred that is possible to integrate the adaptive control and the embedded systems as software and hardware tools to improve the operation of traffic control systems.Para optimizar el flujo vehicular en una intersección vial sediseñaron un al-goritmo de control adaptativo y una base de datos que apoya ladepuracióndel rendimiento del controlador, ambos alojados en el sistema embebidoRaspberry Pi B+. El desempeño del algoritmo fue evaluado conun ins-trumento virtual, que emuló una intersección semafórica dela ciudad deCúcuta, esto es, los sensores magnetorresistivos, el proceso de encendido enlas luces de los semáforos y el flujo vehicular. La manipulación de los tiem-pos de encendido en las luces de los semáforos, aumentó el flujo vehicularhasta5.5 %y, disminuyó el tiempo máximo de espera del vehículo paraavanzar hasta28segundos y el largo de fila hasta un18 %. Con base en el caso de estudio, se puede inferir que es posible integrar el control adapta-tivo y los sistemas embebidos como herramientas de softwarey hardwarepara mejorar el funcionamiento en los sistemas de regulación vial.Palabras clave:Base de datos; control adaptativo; instrumentación vir-tual; intersección semafórica; sistema embebido.25 páginasapplication/pdfspaIngeniería y cienciaColombiaIngeniería y cienciaVol.12 No.24.(2016)19324(2016)16912Celis-Peñaranda, J., Escobar-Amado, C., Sepulveda-Mora, S., Castro-Casadiego, S., Medina-Delgado, B., & Ramírez-Mateus, J. (2016). Adaptive Control for Optimizing a Traffic Light Intersection Based on an Embedded System. Ingeniería Y Ciencia, 12(24), 169-193. https://doi.org/10.17230/ingciencia.12.24.8Ingeniería y cienciaThis work is licensed under a Creative Commons Attribution 4.0 International License.info:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)http://purl.org/coar/access_right/c_abf2https://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/3458Control adaptativo para optimizar una intersección semafórica basado en un sistema embebidoAdaptive Control for Optimizing a Traffic Light Intersection Based on an Embedded SystemArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Base de datoscontrol adaptativoinstrumentación virtualIntersección semafóricasistema embebidoData baseadaptive controlvirtual instrumentationtraffic lightembedded systemD. Robles, P. Ña nez, and N. Quijano, “Control y simulación de tráfico urbano en Colombia: Estado del arte,” Revista de Ingeniería, no. 29, pp. 59–69, May 2009. [Online]. Available: http://dx.doi.org/10.16924%2Friua.v0i29.245 170F. Pérez, A. Bautista, M. Salazar, and A. Macias, “Análisis del flujo de tráfico vehicular a través de un modelo macroscópico,” Dyna, vol. 81, no. 184, pp. 36–40, 2014. [Online]. Available: http://dx.doi.org/10.15446/dyna.v81n184.38650 170J. Morales Pérez and J. Fernández Gómez, “Análisis discriminante de algunas variables que influyen en la contaminación acústica debida al tráfico urbano en una gran ciudad,” Revista Ingenierías Universidad de Medellín, vol. 11, no. 21, pp. 13–22, Jun. 2012. 171H. González Fernández, M. Zamora Martí, and A. Duharte González, “Análisis de la circulación en la intersección carretera central-Avenida delas Américas,” Ciencia en su PC, no. 2, pp. 94–103, 2008. 171Invias; and Inco. (2011) Análisis gráfico del tráfico vehicular por categoría del vehículo. Bogotá. [Online]. Available: https://goo.gl/2rYZqw 171L. F. Pedraza, C. A. Hernández, and D. A. López, “Control de tráfico vehicular usando ANFIS,” Revista chilena de Ingeniería, vol. 20, no. 1, pp. 79–88, 2012. [Online]. Available: http://dx.doi.org/10.4067/S0718-33052012000100008 171L. F. PedrazaMartínez, C. A. Hernández Suárez, and D. A. López Sarmiento, “Sistema de comunicación TCP/IP para el control de una intersección de tráfico vehicular,” Ingeniería, Investigación y Tecnología, vol. XIV, no. 4, pp. 583–594, 2013. 171F. A. Espinosa Valcárcel, C. A. Gordillo Chaves, R. Jiménez Moreno, and O. F. Avilés Sanchez, “Machine vision algorithms applied to dynamic traffic light control,” Dyna, vol. 80, no. 178, pp. 132–140, 2013. 171M. Mesa Mazo, J. Valencia Calvo, and G. Olivar Tost, “Modelo para la dinámica de un vehículo a través de una secuencia de semáforos,” Dyna, vol. 81, no. 186, pp. 138–145, 2014. [Online]. Available: http://dx.doi.org/10.15446/dyna.v81n186.39767 172M. Jiménez and I. Sarmiento, “Sistema adaptativo de control y optimización del tráfico de un corredor vial semaforizado. Aplicación a la ciudad de Medellín,” Dyna, vol. 78, no. 169, pp. 71–78, 2011. 172, 182T. Juntunen, V. Kostakos, P. Mikko, and D. Ferreira, “Web tool for traffic engineers: direct manipulation and visualization of vehicular traffic using Google maps,” in MindTrek ’12 Proceeding of the 16th International Academic MindTrek Conference, 2012, pp. 209–210. [Online]. Available: https://doi.org/10.1145/2393132.2393173 172S. Hu, L. Su, H. Liu, H. Wang, and T. F. Abdelzaher, “SmartRoad: Smartphone-Based Crowd Sensing for Traffic Regulator Detection and Identification,” ACM Transactions on Sensor Networks, vol. 11, no. 4, 2015. [Online]. Available: http://dx.doi.org/10.1145/2770876 172M. Fogue, P. Garrido, F. J.Martínez, J.-C. Cano, C. T. Calafate, and P. Manzoni, “A Realistic Simulation Framework for Vehicular Networks,” in SIMUTOOLS ’12 Proceedings of the 5th International ICST Conference on Simulation Tools and Techniques, Mar. 2012, pp. 37–46. 172G. Chen and T. T. Pham, Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems. Boca Raton London New York Washington, D.C.: CRC Press, 2001. 173Lendher, Sensor Magnetorresistivo para Detección de Vehículos FVD-L, lendher, 2012. [Online]. Available: https://goo.gl/G22z93 175 [16] J. R. Lajara Viscaíno and J. Pelegri Sebastia, LabVIEW Entorno gráfico de programación. Barcelona, México D.F.: Alfaomega and Marcombo, 2007. 176C. Kang-Ching, Y. Li, and S. Romesh, “Validation of Stochastic Traffic Flow Model with Microscopic Traffic Simulation,” Conference on Automation Science and Engineering (CASE), 2011 IEEE, 2011. 182J. C. Correa, “Estimación por intervalo del parámetro de la distribución de Poisson con una sola observación,” Revista Colombiana de Estadística, vol. 30, no. 1, pp. 69–75, Jun. 2007. 183ORIGINALControl adaptativo para optimizar una intersección semafórica basado en un sistema embebido.pdfControl adaptativo para optimizar una intersección semafórica basado en un sistema embebido.pdfapplication/pdf482750https://repositorio.ufps.edu.co/bitstream/ufps/903/1/Control%20adaptativo%20para%20optimizar%20una%20intersecci%c3%b3n%20semaf%c3%b3rica%20basado%20en%20un%20sistema%20embebido.pdf2e5470aadab5b77ff2a603a4412b8dedMD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.ufps.edu.co/bitstream/ufps/903/2/license.txt2f9959eaf5b71fae44bbf9ec84150c7aMD52open accessTEXTControl adaptativo para optimizar una intersección semafórica basado en un sistema embebido.pdf.txtControl adaptativo para optimizar una intersección semafórica basado en un sistema 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 incorporada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
0000-0003-0962-9916539e8559e348f010cc825d040aecc6656000000-0003-0754-862977a81f47bf20466c22fcea2d1e82a7536000000-0002-4387-6147cf27580f0a8d58c85ac2df83330de485600 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