Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/357541
Type: Artigo
Title: An adaptive and distributed traffic management system using vehicular ad-hoc networks
Author: Gomides, Thiago S.
Grande, Robson E. De
Souza, Allan M. de
Souza, Fernanda S.H.
Villas, Leandro A.
Guidoni, Daniel L.
Abstract: Traffic Management Systems become an important challenge for large cities due to the constant growth of vehicles. As the road mesh does not increase as well as the number of vehicles in the streets, technological solutions for the traffic congestion rise as alternative and easy-to-use applications. This work presents the ON-DEMAND: An adaptive and Distributed Traffic Management System using VANETS. The proposed solution is based on V2V communication and the local view of traffic congestion. During its displacement in a road, the vehicle monitors its traveled distance and the expected one considering a free-flow traffic condition. The difference between these measurements is used to classify a contention factor, i.e., the vehicle perception on the road traffic condition. Each vehicle uses the contention factor to classify the overall congestion level and this information is proactively disseminated to its vicinity considering an adaptive approach. In the case a vehicle does not have the necessary traffic information to estimate alternative routes, it executes a reactive traffic information knowledge discovery. The proposed solution is compared with three literature solutions, named DIVERT, PANDORA and s-NRR. Our results showed that ON-DEMAND presents better results regarding network and traffic congestion metrics
Subject: Redes ad hoc veiculares (Redes de computadores)
Country: Países Baixos
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.1016/j.comcom.2020.05.027
Address: https://www.sciencedirect.com/science/article/pii/S0140366419319942
Date Issue: 2020
Appears in Collections:IC - Artigos e Outros Documentos

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