A smart algorithm for traffic lights intersections control in developing countries
Traffic jam is a problem that directly affects the quality of life of the population in large cities. This problem exacerbates at road intersections, where obsolete traffic control systems based on a static set of rules remain in use. We propose an algorithm that improves vehicular flow control at t...
- Autores:
-
Olaya Quiñones, José D.
Perafán Villota, Juan Carlos
- Tipo de recurso:
- Conferencia (Ponencia)
- Fecha de publicación:
- 2021
- Institución:
- Universidad Autónoma de Occidente
- Repositorio:
- RED: Repositorio Educativo Digital UAO
- Idioma:
- eng
- OAI Identifier:
- oai:red.uao.edu.co:10614/13995
- Acceso en línea:
- https://hdl.handle.net/10614/13995
https://red.uao.edu.co/
- Palabra clave:
- Lógica difusa
Ciudades inteligentes
Aprendizaje profundo (Aprendizaje automático)
Smart city
Traffic jam
Deep learning
Fuzzy Logic
Yolo
Unit3D
- Rights
- openAccess
- License
- Derechos reservados - Universidad Autónoma de Occidente, 2021
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A smart algorithm for traffic lights intersections control in developing countries |
| title |
A smart algorithm for traffic lights intersections control in developing countries |
| spellingShingle |
A smart algorithm for traffic lights intersections control in developing countries Lógica difusa Ciudades inteligentes Aprendizaje profundo (Aprendizaje automático) Smart city Traffic jam Deep learning Fuzzy Logic Yolo Unit3D |
| title_short |
A smart algorithm for traffic lights intersections control in developing countries |
| title_full |
A smart algorithm for traffic lights intersections control in developing countries |
| title_fullStr |
A smart algorithm for traffic lights intersections control in developing countries |
| title_full_unstemmed |
A smart algorithm for traffic lights intersections control in developing countries |
| title_sort |
A smart algorithm for traffic lights intersections control in developing countries |
| dc.creator.fl_str_mv |
Olaya Quiñones, José D. Perafán Villota, Juan Carlos |
| dc.contributor.author.none.fl_str_mv |
Olaya Quiñones, José D. Perafán Villota, Juan Carlos |
| dc.subject.armarc.spa.fl_str_mv |
Lógica difusa Ciudades inteligentes Aprendizaje profundo (Aprendizaje automático) |
| topic |
Lógica difusa Ciudades inteligentes Aprendizaje profundo (Aprendizaje automático) Smart city Traffic jam Deep learning Fuzzy Logic Yolo Unit3D |
| dc.subject.proposal.eng.fl_str_mv |
Smart city Traffic jam Deep learning Fuzzy Logic Yolo Unit3D |
| description |
Traffic jam is a problem that directly affects the quality of life of the population in large cities. This problem exacerbates at road intersections, where obsolete traffic control systems based on a static set of rules remain in use. We propose an algorithm that improves vehicular flow control at traffic-light intersections by optimizing a dynamic allocation of times. We train our own YOLO detector using a set of images captured from traffic cameras installed at a cross-road. Based on the number of vehicles detected in each intersection road, one set of rules was created and used by a fuzzy control. Since, at the local level, there are few traffic cameras installed on intersections. We build a simulated environment both to train our detector system and verify the efficiency of our algorithm |
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2021 |
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2021 |
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2022-06-21T16:59:31Z |
| dc.date.available.none.fl_str_mv |
2022-06-21T16:59:31Z |
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9783030913076 |
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https://hdl.handle.net/10614/13995 |
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Universidad Autónoma de Occidente |
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Repositorio Educativo Digital |
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https://red.uao.edu.co/ |
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9783030913076 Universidad Autónoma de Occidente Repositorio Educativo Digital |
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eng |
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eng |
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Olaya Quiñones, J. D., Perafan Villota, J. C. (Mayo 26-28, 2021). A smart algorithm for traffic lights intersections control in developing countries. 2021 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI), Cali, Colombia. https://ieeexplore.ieee.org/document/9469581 |
| dc.relation.conferencedate.spa.fl_str_mv |
26-28 mayo 2021 |
| dc.relation.conferenceplace.spa.fl_str_mv |
Cali |
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2021 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI) |
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"European initiative on smart cities 2010–2020", [online] Available: http://setis.ec.europa.eu/set-plan-implementation/technology-roadmaps/european-initiative-smart-cities M. N. Smith, "The number of cars will double worldwide by 2040", [online] Available: https://www.weforum.org/agenda/2016/04/the-number-of-cars-worldwide-is-set-to-double-by-2040 "Crece el desespero de los caleños por ‘trancones’ viales", [online] Available: https://www.elpais.com.co/cali/crece-el-desespero-de-los-calenos-por-trancones-viales.html. "Análisis integral de la red de infraestructura vial para la movilidad motorizada en el municipio de cali", [online] Available: http://idesc.cali.gov.co/download/movilidad/documento_tecnicoin_fraestructura_vial.pdf. Y. Wei, N. Song, L. Ke, M.-C. Chang and S. Lyu, "Street object detection/tracking for ai city traffic analysis", 2017 IEEE Smart-World Ubiquitous Intelligence & Computing Advanced & Trusted Computed Scalable Computing & Communications Cloud & Big Data Computing Internet of People and Smart City Innovation (Smart-World/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)., pp. 1-5, 2017 H. Mu, L. Liu and X. Li, "Signal preemption control of emergency vehicles based on timed colored petri nets", Discrete Dynamics in Nature and Society, vol. 2018, 2018. S. I. Guler, V. V. Gayah and M. Menendez, "Bus priority at signalized intersections with single-lane approaches: A novel pre-signal strategy", Transportation Research Part C: Emerging Technologies, vol. 63, pp. 51-70 W. Wen and C. L. Yang, "A dynamic and automatic traffic light control system for solving the road congestion problem", WIT Transactions on the Built Environment, vol. 89, 2006. L. Yang, Y. Wang and Z. Yao, "A new vehicle arrival prediction model for adaptive signal control in a connected vehicle environment", IEEE Access, vol. 8, pp. 112 104-112 112, 2020 A. Louati, E. Sabeur, D. Saber and H. Louati, "Multi-agent preemptive longest queue first system to manage the crossing of emergency vehicles at interrupted intersections", European Transport Research Review, pp. 1-21 |
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Derechos reservados - Universidad Autónoma de Occidente, 2021 |
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Olaya Quiñones, José D.9819366db8fc8877cb3f03abda368c81Perafán Villota, Juan Carlosvirtual::4114-12022-06-21T16:59:31Z2022-06-21T16:59:31Z20219783030913076https://hdl.handle.net/10614/13995Universidad Autónoma de OccidenteRepositorio Educativo Digitalhttps://red.uao.edu.co/Traffic jam is a problem that directly affects the quality of life of the population in large cities. This problem exacerbates at road intersections, where obsolete traffic control systems based on a static set of rules remain in use. We propose an algorithm that improves vehicular flow control at traffic-light intersections by optimizing a dynamic allocation of times. We train our own YOLO detector using a set of images captured from traffic cameras installed at a cross-road. Based on the number of vehicles detected in each intersection road, one set of rules was created and used by a fuzzy control. Since, at the local level, there are few traffic cameras installed on intersections. We build a simulated environment both to train our detector system and verify the efficiency of our algorithmapplication/pdfengIEEEDerechos reservados - Universidad Autónoma de Occidente, 2021https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2https://link.springer.com/chapter/10.1007/978-3-030-91308-3_7A smart algorithm for traffic lights intersections control in developing countriesDocumento de Conferenciahttp://purl.org/coar/resource_type/c_8544http://purl.org/coar/resource_type/c_c94fTextinfo:eu-repo/semantics/conferenceObjecthttps://purl.org/redcol/resource_type/GCinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Lógica difusaCiudades inteligentesAprendizaje profundo (Aprendizaje automático)Smart cityTraffic jamDeep learningFuzzy LogicYoloUnit3DOlaya Quiñones, J. D., Perafan Villota, J. C. (Mayo 26-28, 2021). A smart algorithm for traffic lights intersections control in developing countries. 2021 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI), Cali, Colombia. https://ieeexplore.ieee.org/document/946958126-28 mayo 2021Cali2021 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI)"European initiative on smart cities 2010–2020", [online] Available: http://setis.ec.europa.eu/set-plan-implementation/technology-roadmaps/european-initiative-smart-citiesM. N. Smith, "The number of cars will double worldwide by 2040", [online] Available: https://www.weforum.org/agenda/2016/04/the-number-of-cars-worldwide-is-set-to-double-by-2040"Crece el desespero de los caleños por ‘trancones’ viales", [online] Available: https://www.elpais.com.co/cali/crece-el-desespero-de-los-calenos-por-trancones-viales.html."Análisis integral de la red de infraestructura vial para la movilidad motorizada en el municipio de cali", [online] Available: http://idesc.cali.gov.co/download/movilidad/documento_tecnicoin_fraestructura_vial.pdf.Y. Wei, N. Song, L. Ke, M.-C. Chang and S. Lyu, "Street object detection/tracking for ai city traffic analysis", 2017 IEEE Smart-World Ubiquitous Intelligence & Computing Advanced & Trusted Computed Scalable Computing & Communications Cloud & Big Data Computing Internet of People and Smart City Innovation (Smart-World/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)., pp. 1-5, 2017H. Mu, L. Liu and X. Li, "Signal preemption control of emergency vehicles based on timed colored petri nets", Discrete Dynamics in Nature and Society, vol. 2018, 2018.S. I. Guler, V. V. Gayah and M. Menendez, "Bus priority at signalized intersections with single-lane approaches: A novel pre-signal strategy", Transportation Research Part C: Emerging Technologies, vol. 63, pp. 51-70W. Wen and C. L. Yang, "A dynamic and automatic traffic light control system for solving the road congestion problem", WIT Transactions on the Built Environment, vol. 89, 2006.L. Yang, Y. Wang and Z. Yao, "A new vehicle arrival prediction model for adaptive signal control in a connected vehicle environment", IEEE Access, vol. 8, pp. 112 104-112 112, 2020A. Louati, E. Sabeur, D. Saber and H. 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