V2X-d: A vehicular density estimation system that combines V2V and V2I communications


== Abstract ==

© 2013 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. Road traffic is experiencing a drastic increase, and vehicular traffic congestion is becoming a major problem, especially in metropolitan environments throughout the world. Additionally, in modern Intelligent Transportation Systems (ITS) communications, the high amount of information that can be generated and processed by vehicles will significantly increase message redundancy, channel contention, and message collisions, thus reducing the efficiency of message dissemination processes. In this work, we present a V2X architecture to estimate traffic density on the road that relies on the advantages of combining V2V and V2I communications. Our proposal uses both the number of beacons received per vehicle (V2V) and per RSU (V2I), as well as the roadmap topology features to estimate the vehicle density. By using our approach, modern Intelligent Transportation Systems will be able to reduce traffic congestion and also to adopt more efficient message dissemination protocols. This work was partially supported by the Ministerio de Ciencia e Innovación, Spain, under Grant TIN2011-27543-C03-01, by the Fundación Universitaria Antonio Gargallo and the Obra Social de Ibercaja, under Grant 2013/B010, as well as the Government of Aragón and the European Social Fund (T91 Research Group). Barrachina Villalba, J.; Sangüesa, JA.; Fogue, M.; Garrido, P.; Martínez, FJ.; Cano Escribá, JC.; Tavares De Araujo Cesariny Calafate, CM.... (2013). V2X-d: a Vehicular Density Estimation System that combines V2V and V2I Communications. IEEE. doi:10.1109/WD.2013.6686518 S


== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1109/wd.2013.6686518 http://dx.doi.org/10.1109/wd.2013.6686518]

* [http://hdl.handle.net/10251/70969 http://hdl.handle.net/10251/70969]

* [https://riunet.upv.es/bitstream/10251/70969/3/WD_Barrachina_2013_author_version.pdf https://riunet.upv.es/bitstream/10251/70969/3/WD_Barrachina_2013_author_version.pdf]

* [http://xplorestaging.ieee.org/ielx7/6679376/6686431/06686518.pdf?arnumber=6686518 http://xplorestaging.ieee.org/ielx7/6679376/6686431/06686518.pdf?arnumber=6686518],
: [http://dx.doi.org/10.1109/wd.2013.6686518 http://dx.doi.org/10.1109/wd.2013.6686518]

* [https://ieeexplore.ieee.org/document/6686518 https://ieeexplore.ieee.org/document/6686518],
: [https://www.researchgate.net/profile/Francisco_Martinez14/publication/259043675_V2X-d_a_Vehicular_Density_Estimation_System_that_combines_V2V_and_V2I_Communications/links/00b49529d2292a9f58000000.pdf https://www.researchgate.net/profile/Francisco_Martinez14/publication/259043675_V2X-d_a_Vehicular_Density_Estimation_System_that_combines_V2V_and_V2I_Communications/links/00b49529d2292a9f58000000.pdf],
: [https://dblp.uni-trier.de/db/conf/wd/wd2013.html#BarrachinaSFGMCCM13 https://dblp.uni-trier.de/db/conf/wd/wd2013.html#BarrachinaSFGMCCM13],
: [https://riunet.upv.es/bitstream/10251/70969/3/WD_Barrachina_2013_author_version.pdf https://riunet.upv.es/bitstream/10251/70969/3/WD_Barrachina_2013_author_version.pdf],
: [https://doi.org/10.1109/WD.2013.6686518 https://doi.org/10.1109/WD.2013.6686518],
: [http://ieeexplore.ieee.org/document/6686518 http://ieeexplore.ieee.org/document/6686518],
: [https://riunet.upv.es/handle/10251/70969 https://riunet.upv.es/handle/10251/70969],
: [http://www.christian-schach.de/studium/web20/wp-content/uploads/WAR_Artikel.pdf http://www.christian-schach.de/studium/web20/wp-content/uploads/WAR_Artikel.pdf],
: [https://academic.microsoft.com/#/detail/2046669411 https://academic.microsoft.com/#/detail/2046669411]