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| − | + | © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. [EN] Quickly identifying the severity of highway acci-dents, as well as the resources required to assist the people involved in those accidents, is a basic requirement for future intelligent transportation systems. In this context, vehicular communication technologies currently being standardized are able to provide novel solutions to address this problem. In this work we study the feasibility of combining vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications to deliver a video stream from the place of the accident to the traffic authorities. Our approach relies on vehicles as data relays, thus having the additional advantage of providing drivers with a clear view about the accident, thereby helping to reduce stress and improving traffic flow. An experimental analysis comparing different traffic flooding mechanisms for wireless networks show that the proposed system is viable for highways with moderate/high amounts of traffic, although highlighting the need for more efficient mechanisms specifically addressing broadcast propagation in highway envi-ronments. This work was partially supported by the Ministerio de Economía y Competitividad, Spain, under Grant TIN2011- 27543-C03-01, by the Ministerio de Educación, Spain, under the FPU program, AP2009-2415, and by the National Institute of Informatics International Internship Program. Torres Cortes, A.; Ji, Y.; Tavares De Araujo Cesariny Calafate, CM.; Cano Escribá, JC.; Manzoni, P. (2014). V2X solutions for real-time video collection. En Wireless On-demand Network Systems and Services (WONS), 2014 11th Annual Conference on. IEEE. 116-121. doi:10.1109/WONS.2014.6814731 S 116 121 | |
Latest revision as of 20:07, 28 January 2021
Abstract
© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. [EN] Quickly identifying the severity of highway acci-dents, as well as the resources required to assist the people involved in those accidents, is a basic requirement for future intelligent transportation systems. In this context, vehicular communication technologies currently being standardized are able to provide novel solutions to address this problem. In this work we study the feasibility of combining vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications to deliver a video stream from the place of the accident to the traffic authorities. Our approach relies on vehicles as data relays, thus having the additional advantage of providing drivers with a clear view about the accident, thereby helping to reduce stress and improving traffic flow. An experimental analysis comparing different traffic flooding mechanisms for wireless networks show that the proposed system is viable for highways with moderate/high amounts of traffic, although highlighting the need for more efficient mechanisms specifically addressing broadcast propagation in highway envi-ronments. This work was partially supported by the Ministerio de Economía y Competitividad, Spain, under Grant TIN2011- 27543-C03-01, by the Ministerio de Educación, Spain, under the FPU program, AP2009-2415, and by the National Institute of Informatics International Internship Program. Torres Cortes, A.; Ji, Y.; Tavares De Araujo Cesariny Calafate, CM.; Cano Escribá, JC.; Manzoni, P. (2014). V2X solutions for real-time video collection. En Wireless On-demand Network Systems and Services (WONS), 2014 11th Annual Conference on. IEEE. 116-121. doi:10.1109/WONS.2014.6814731 S 116 121
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Published on 01/01/2014
Volume 2014, 2014
DOI: 10.1109/wons.2014.6814731
Licence: CC BY-NC-SA license
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