Leveraging Emergency Response System Using the Internet of Things. A Preliminary Approach
The Internet of Things (IoT) is a new paradigm that is arising in all areas of technology, finding novel applications every day that can improve many aspects of people’s lives. Several applications using IoT have been subject to research and development; one of these applications is traffic monitori...
- Autores:
-
Magre Colorado, Luz Alejandra
Franco Ibañez, Jorge
Martínez-Santos, Juan Carlos
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9992
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9992
https://ieeexplore.ieee.org/document/9299175
- Palabra clave:
- Internet of things
Traffic lights
Smart city
Response time
Emergency response
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb
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dc.title.spa.fl_str_mv |
Leveraging Emergency Response System Using the Internet of Things. A Preliminary Approach |
title |
Leveraging Emergency Response System Using the Internet of Things. A Preliminary Approach |
spellingShingle |
Leveraging Emergency Response System Using the Internet of Things. A Preliminary Approach Internet of things Traffic lights Smart city Response time Emergency response |
title_short |
Leveraging Emergency Response System Using the Internet of Things. A Preliminary Approach |
title_full |
Leveraging Emergency Response System Using the Internet of Things. A Preliminary Approach |
title_fullStr |
Leveraging Emergency Response System Using the Internet of Things. A Preliminary Approach |
title_full_unstemmed |
Leveraging Emergency Response System Using the Internet of Things. A Preliminary Approach |
title_sort |
Leveraging Emergency Response System Using the Internet of Things. A Preliminary Approach |
dc.creator.fl_str_mv |
Magre Colorado, Luz Alejandra Franco Ibañez, Jorge Martínez-Santos, Juan Carlos |
dc.contributor.author.none.fl_str_mv |
Magre Colorado, Luz Alejandra Franco Ibañez, Jorge Martínez-Santos, Juan Carlos |
dc.subject.keywords.spa.fl_str_mv |
Internet of things Traffic lights Smart city Response time Emergency response |
topic |
Internet of things Traffic lights Smart city Response time Emergency response |
description |
The Internet of Things (IoT) is a new paradigm that is arising in all areas of technology, finding novel applications every day that can improve many aspects of people’s lives. Several applications using IoT have been subject to research and development; one of these applications is traffic monitoring and management. In the case of an accident or a medical emergency, we know that a fast response is essential to people’s survival. However, in a city where the population increases, but the road space does not, traffic jams are an everyday thing. Traffic jams affect ambulance arrival to the hospital or a fire truck to the fire site. Thus, it is crucial to develop a system that can reduce the response time in case of an emergency. We propose to build an open IoT system over the current city architecture to communicate emergency vehicles to the surveillance cameras network and the traffic-light system to dynamically change their schedule and provide in this way a green wave reducing the response time. In this paper, we study the theory behind our proposed system as a whole. The results presented demonstrate that the subsystem used to identify and locate the emergency vehicles works properly. Also, we discuss the next steps to follow in order to implement all subsystems that need to be integrated. |
publishDate |
2020 |
dc.date.issued.none.fl_str_mv |
2020-12-25 |
dc.date.accessioned.none.fl_str_mv |
2021-02-15T15:53:14Z |
dc.date.available.none.fl_str_mv |
2021-02-15T15:53:14Z |
dc.date.submitted.none.fl_str_mv |
2021-02-12 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/lecture |
dc.type.hasversion.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.spa.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_8544 |
status_str |
publishedVersion |
dc.identifier.citation.spa.fl_str_mv |
L. A. Magre Colorado, J. Franco Ibañez and J. C. Martinez-Santos, "Leveraging Emergency Response System Using the Internet of Things. A Preliminary Approach," 2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), Mexico City, 2020, pp. 1-6, doi: 10.1109/CCE50788.2020.9299175. |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/9992 |
dc.identifier.url.none.fl_str_mv |
https://ieeexplore.ieee.org/document/9299175 |
dc.identifier.doi.none.fl_str_mv |
10.1109/CCE50788.2020.9299175 |
dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
dc.identifier.reponame.spa.fl_str_mv |
Repositorio Universidad Tecnológica de Bolívar |
identifier_str_mv |
L. A. Magre Colorado, J. Franco Ibañez and J. C. Martinez-Santos, "Leveraging Emergency Response System Using the Internet of Things. A Preliminary Approach," 2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), Mexico City, 2020, pp. 1-6, doi: 10.1109/CCE50788.2020.9299175. 10.1109/CCE50788.2020.9299175 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
url |
https://hdl.handle.net/20.500.12585/9992 https://ieeexplore.ieee.org/document/9299175 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_14cb |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/closedAccess |
eu_rights_str_mv |
closedAccess |
rights_invalid_str_mv |
http://purl.org/coar/access_right/c_14cb |
dc.format.extent.none.fl_str_mv |
6 páginas |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.place.spa.fl_str_mv |
Cartagena de Indias |
dc.source.spa.fl_str_mv |
2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) |
institution |
Universidad Tecnológica de Bolívar |
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Magre Colorado, Luz Alejandrab2997e17-e28f-4b88-b611-f9b920784387Franco Ibañez, Jorge499722b3-fdaa-4434-b9da-44d90a5c8decMartínez-Santos, Juan Carlos5c958644-c78d-401d-8ba9-bbd39fe773182021-02-15T15:53:14Z2021-02-15T15:53:14Z2020-12-252021-02-12L. A. Magre Colorado, J. Franco Ibañez and J. C. Martinez-Santos, "Leveraging Emergency Response System Using the Internet of Things. A Preliminary Approach," 2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), Mexico City, 2020, pp. 1-6, doi: 10.1109/CCE50788.2020.9299175.https://hdl.handle.net/20.500.12585/9992https://ieeexplore.ieee.org/document/929917510.1109/CCE50788.2020.9299175Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe Internet of Things (IoT) is a new paradigm that is arising in all areas of technology, finding novel applications every day that can improve many aspects of people’s lives. Several applications using IoT have been subject to research and development; one of these applications is traffic monitoring and management. In the case of an accident or a medical emergency, we know that a fast response is essential to people’s survival. However, in a city where the population increases, but the road space does not, traffic jams are an everyday thing. Traffic jams affect ambulance arrival to the hospital or a fire truck to the fire site. Thus, it is crucial to develop a system that can reduce the response time in case of an emergency. We propose to build an open IoT system over the current city architecture to communicate emergency vehicles to the surveillance cameras network and the traffic-light system to dynamically change their schedule and provide in this way a green wave reducing the response time. In this paper, we study the theory behind our proposed system as a whole. The results presented demonstrate that the subsystem used to identify and locate the emergency vehicles works properly. Also, we discuss the next steps to follow in order to implement all subsystems that need to be integrated.6 páginasapplication/pdfeng2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)Leveraging Emergency Response System Using the Internet of Things. A Preliminary Approachinfo:eu-repo/semantics/lectureinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_8544http://purl.org/coar/version/c_970fb48d4fbd8a85Internet of thingsTraffic lightsSmart cityResponse timeEmergency responseinfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbCartagena de IndiasPúblico generalet al., "Guidelines 2000 for cardiopulmonary resuscitation and emergency cardiovascular care: an international consensus on science", Circulation, vol. 102, 2000.T. H. Blackwell and J. S. Kaufman, "Response time effectiveness: comparison of response time and survival in an urban emergency medical services system", Academic Emergency Medicine, vol. 9, no. 4, pp. 288-295, 2002.C. E. Turcu, V. G. Gaitan and C. O. Turcu, "An internet of things-based distributed intelligent system with self-optimization for controlling traffic-light intersections", Applied and Theoretical Electricity (ICATE) 2012 International Conference on, pp. 1-5, 2012.M. Yu, D. Zhang, Y. Cheng and M. Wang, "An rfid electronic tag based automatic vehicle identification system for traffic iot applications", Control and Decision Conference (CCDC) 2011 Chinese, pp. 4192-4197, 2011.H. Noori, "Modeling the impact of vanet-enabled traffic lights control on the response time of emergency vehicles in realistic large-scale urban area", Communications Workshops (ICC) 2013 IEEE International Conference on, pp. 526-531, 2013.Y. Wang, Z. Wu, X. Yang and L. Huang, "Design and implementation of an emergency vehicle signal preemption system based on cooperative vehicle-infrastructure technology", Advances in Mechanical Engineering, 2013.F. Bonomi, R. Milito, P. Natarajan and J. Zhu, "Fog computing: A platform for internet of things and analytics" in Big Data and Internet of Things: A Roadmap for Smart Environments, Springer, pp. 169-186, 2014.F. Bonomi, R. Milito, J. Zhu and S. Addepalli, "Fog computing and its role in the internet of things", Proceedings of the first edition of the MCC workshop on Mobile cloud computing, pp. 13-16, 2012.Y. Leng and L. Zhao, "Novel design of intelligent internet-of-vehicles management system based on cloud-computing and internet-of-things", Electronic and Mechanical Engineering and Information Technology (EMEIT) 2011 International Conference on, vol. 6, pp. 3190-3193, 2011.G. Dimitrakopoulos, "Intelligent transportation systems based on internet-connected vehicles: Fundamental research areas and challenges", ITS Telecommunications (ITST) 2011 11th International Conference on, pp. 145-151, 2011.X. Wang and J. Liu, "Design and implementation for ambulance route search based on the internet of things", Communications and Mobile Computing (CMC) 2011 Third International Conference on, pp. 523-526, 2011.R. Johnson, "Opticom priority control system", TRAFFIC TECHNOLOGY INTERNATIONAL’95, 1995."Emtrac emergency vehicle preemption", 2020, [online] Available: http://www.emtracsystems.com/.W. Sun, "Internet of vehicles", ADVANCES IN MEDIA TECHNOLOGY, pp. 47, 2013.Denso Wave, "What is a QR code?", March 2017, [online] Available: http://www.qrcode.com/en/about/."Github - gregtinkers/carspeed.py", March 2017, [online] Available: https://github.com/gregtinkers/carspeed.py.W. Hogpracha and S. Vongpradhip, "Recognition system for qr code on moving car", 2015 10th International Conference on Computer Science & Education (ICCSE), pp. 14-18, 2015.V. Suryawanshi, A. Gosavi, U. Joshi and S. Suri, "Automatic toll collection system using qr code", International Journal Of Engineering And Computer Science, vol. 6, no. 3, pp. 20 614-20 616, 2017.J. F. Ibañez, J. E. S. Castañeda and J. C. M. Santos, "An iot camera system for the collection of data using qr code as object recognition algorithm", 2018 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI), pp. 1-6, 2018.M. Fellendorf, "Vissim: A microscopic simulation tool to evaluate actuated signal control including bus priority", 64th Institute of Transportation Engineers Annual Meeting, pp. 1-9, 1994.D. Krajzewicz, J. Erdmann, M. Behrisch and L. Bieker, "Recent development and applications of SUMO - Simulation of Urban MObility", International Journal On Advances in Systems and Measurements, vol. 5, no. 3&4, pp. 128-138, December 2012.http://purl.org/coar/resource_type/c_c94fORIGINAL152.pdf152.pdfAbstractapplication/pdf83380https://repositorio.utb.edu.co/bitstream/20.500.12585/9992/1/152.pdff2c3227b46cc35ef721f7ff8b0d7a7d2MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83182https://repositorio.utb.edu.co/bitstream/20.500.12585/9992/2/license.txte20ad307a1c5f3f25af9304a7a7c86b6MD52TEXT152.pdf.txt152.pdf.txtExtracted texttext/plain1438https://repositorio.utb.edu.co/bitstream/20.500.12585/9992/3/152.pdf.txt6f7d05f4ced690e7601320e750e12dd8MD53THUMBNAIL152.pdf.jpg152.pdf.jpgGenerated Thumbnailimage/jpeg59616https://repositorio.utb.edu.co/bitstream/20.500.12585/9992/4/152.pdf.jpg172dba2a1e9b0dfbe4dabe93f98ca3c4MD5420.500.12585/9992oai:repositorio.utb.edu.co:20.500.12585/99922023-05-26 16:27:13.42Repositorio Institucional 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