Sensing Traffic Density Combining V2V and V2I Wireless Communications

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 t...

Full description

Bibliographic Details
Main Authors: Julio A. Sanguesa, Javier Barrachina, Manuel Fogue, Piedad Garrido, Francisco J. Martinez, Juan-Carlos Cano, Carlos T. Calafate, Pietro Manzoni
Format: Article
Language:English
Published: MDPI AG 2015-12-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/15/12/29889
_version_ 1798043592322711552
author Julio A. Sanguesa
Javier Barrachina
Manuel Fogue
Piedad Garrido
Francisco J. Martinez
Juan-Carlos Cano
Carlos T. Calafate
Pietro Manzoni
author_facet Julio A. Sanguesa
Javier Barrachina
Manuel Fogue
Piedad Garrido
Francisco J. Martinez
Juan-Carlos Cano
Carlos T. Calafate
Pietro Manzoni
author_sort Julio A. Sanguesa
collection DOAJ
description 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.
first_indexed 2024-04-11T22:51:17Z
format Article
id doaj.art-f0328e3e9daa4391bba8f9b274d511ff
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-04-11T22:51:17Z
publishDate 2015-12-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj.art-f0328e3e9daa4391bba8f9b274d511ff2022-12-22T03:58:34ZengMDPI AGSensors1424-82202015-12-011512317943181010.3390/s151229889s151229889Sensing Traffic Density Combining V2V and V2I Wireless CommunicationsJulio A. Sanguesa0Javier Barrachina1Manuel Fogue2Piedad Garrido3Francisco J. Martinez4Juan-Carlos Cano5Carlos T. Calafate6Pietro Manzoni7DIIS, University of Zaragoza, Ciudad Escolar s/n, Teruel 44003, SpainDIIS, University of Zaragoza, Ciudad Escolar s/n, Teruel 44003, SpainDIIS, University of Zaragoza, Ciudad Escolar s/n, Teruel 44003, SpainDIIS, University of Zaragoza, Ciudad Escolar s/n, Teruel 44003, SpainDIIS, University of Zaragoza, Ciudad Escolar s/n, Teruel 44003, SpainDISCA, Universitat Politècnica de València, Camino de Vera s/n, Valencia 46022, SpainDISCA, Universitat Politècnica de València, Camino de Vera s/n, Valencia 46022, SpainDISCA, Universitat Politècnica de València, Camino de Vera s/n, Valencia 46022, SpainWireless 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.http://www.mdpi.com/1424-8220/15/12/29889VANETsvehicular networksroad side unitdensity estimation
spellingShingle Julio A. Sanguesa
Javier Barrachina
Manuel Fogue
Piedad Garrido
Francisco J. Martinez
Juan-Carlos Cano
Carlos T. Calafate
Pietro Manzoni
Sensing Traffic Density Combining V2V and V2I Wireless Communications
Sensors
VANETs
vehicular networks
road side unit
density estimation
title Sensing Traffic Density Combining V2V and V2I Wireless Communications
title_full Sensing Traffic Density Combining V2V and V2I Wireless Communications
title_fullStr Sensing Traffic Density Combining V2V and V2I Wireless Communications
title_full_unstemmed Sensing Traffic Density Combining V2V and V2I Wireless Communications
title_short Sensing Traffic Density Combining V2V and V2I Wireless Communications
title_sort sensing traffic density combining v2v and v2i wireless communications
topic VANETs
vehicular networks
road side unit
density estimation
url http://www.mdpi.com/1424-8220/15/12/29889
work_keys_str_mv AT julioasanguesa sensingtrafficdensitycombiningv2vandv2iwirelesscommunications
AT javierbarrachina sensingtrafficdensitycombiningv2vandv2iwirelesscommunications
AT manuelfogue sensingtrafficdensitycombiningv2vandv2iwirelesscommunications
AT piedadgarrido sensingtrafficdensitycombiningv2vandv2iwirelesscommunications
AT franciscojmartinez sensingtrafficdensitycombiningv2vandv2iwirelesscommunications
AT juancarloscano sensingtrafficdensitycombiningv2vandv2iwirelesscommunications
AT carlostcalafate sensingtrafficdensitycombiningv2vandv2iwirelesscommunications
AT pietromanzoni sensingtrafficdensitycombiningv2vandv2iwirelesscommunications