On the Study of Vehicle Density in Intelligent Transportation Systems

Sanguesa, J.A. ; Naranjo, F. (Universidad de Zaragoza) ; Torres-Sanz, V. ; Fogue, M. (Universidad de Zaragoza) ; Garrido, P. (Universidad de Zaragoza) ; Martinez, F.J. (Universidad de Zaragoza)
On the Study of Vehicle Density in Intelligent Transportation Systems
Resumen: Vehicular ad hoc networks (VANETs) are wireless communication networks which support cooperative driving among vehicles on the road. The specific characteristics of VANETs favor the development of attractive and challenging services and applications which rely on message exchanging among vehicles. These communication capabilities depend directly on the existence of nearby vehicles able to exchange information. Therefore, higher vehicle densities favor the communication among vehicles. However, vehicular communications are also strongly affected by the topology of the map (i.e., wireless signal could be attenuated due to the distance between the sender and receiver, and obstacles usually block signal transmission). In this paper, we study the influence of the roadmap topology and the number of vehicles when accounting for the vehicular communications capabilities, especially in urban scenarios. Additionally, we consider the use of two parameters: the SJ Ratio (SJR) and the Total Distance (TD), as the topology-related factors that better correlate with communications performance. Finally, we propose the use of a new density metric based on the number of vehicles, the complexity of the roadmap, and its maximum capacity. Hence, researchers will be able to accurately characterize the different urban scenarios and better validate their proposals related to cooperative Intelligent Transportation Systems based on vehicular communications.
Idioma: Inglés
DOI: 10.1155/2016/8320756
Año: 2016
Publicado en: Mobile Information Systems 2016 (2016), 8320756[13 p]
ISSN: 1574-017X

Factor impacto JCR: 0.849 (2016)
Categ. JCR: TELECOMMUNICATIONS rank: 79 / 89 = 0.888 (2016) - Q4 - T3
Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 121 / 146 = 0.829 (2016) - Q4 - T3

Factor impacto SCIMAGO: 0.207 - Computer Networks and Communications (Q3) - Computer Science Applications (Q4)

Financiación: info:eu-repo/grantAgreement/ES/MINECO/TEC2014-52690-R
Tipo y forma: Article (Published version)
Área (Departamento): Área Arquit.Tecnología Comput. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)

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 Record created 2016-04-08, last modified 2020-02-21

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