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Sensors 2015, 15(12), 31794-31810; doi:10.3390/s151229889

Sensing Traffic Density Combining V2V and V2I Wireless Communications

1
DIIS, University of Zaragoza, Ciudad Escolar s/n, Teruel 44003, Spain
2
DISCA, Universitat Politècnica de València, Camino de Vera s/n, Valencia 46022, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 27 August 2015 / Revised: 5 November 2015 / Accepted: 10 December 2015 / Published: 16 December 2015
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [1429 KB, uploaded 16 December 2015]   |  

Abstract

Wireless technologies are making the development of new applications and services in vehicular environments possible since they enable mobile communication between vehicles (V2V), as well as communication between vehicles and infrastructure nodes (V2I). Usually, V2V communications are dedicated to the transmission of small messages mainly focused on improving traffic safety. Instead, V2I communications allow users to access the Internet and benefit from higher level applications. The combination of both V2V and V2I, known as V2X communications, can increase the benefits even further, thereby making intelligent transportation systems (ITS) a reality. In this paper, we introduce V2X-d, a novel architecture specially designed to estimate traffic density on the road. In particular, V2X-d exploits the combination of V2V and V2I communications. Our approach is based on the information gathered by sensors (i.e., vehicles and road side units (RSUs)) and the characteristics of the roadmap topology to accurately make an estimation of the instant vehicle density. The combination of both mechanisms improves the accuracy and coverage area of the data gathered, while increasing the robustness and fault tolerance of the overall approach, e.g., using the information offered by V2V communications to provide additional density information in areas where RSUs are scarce or malfunctioning. By using our collaborative sensing scheme, future ITS solutions will be able to establish adequate dissemination protocols or to apply more efficient traffic congestion reduction policies, since they will be aware of the instantaneous density of vehicles. View Full-Text
Keywords: VANETs; vehicular networks; road side unit; density estimation VANETs; vehicular networks; road side unit; density estimation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Sanguesa, J.A.; Barrachina, J.; Fogue, M.; Garrido, P.; Martinez, F.J.; Cano, J.-C.; Calafate, C.T.; Manzoni, P. Sensing Traffic Density Combining V2V and V2I Wireless Communications. Sensors 2015, 15, 31794-31810.

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