Paper Info
Title
An adaptive and Distributed Traffic Management System using Vehicular Ad-hoc Networks.
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.
Year
DOI
Venue
2020
10.1016/j.comcom.2020.05.027
Computer Communications
Keywords
DocType
Volume
Vehicular Networks,Vehicular Traffic Management System,Communication protocols,V2V communication
Journal
159
ISSN
Citations 
PageRank 
0140-3664
1
0.37
References 
Authors
0
6
Name
Order
Citations
PageRank
Thiago S. Gomides162.55
Robson Eduardo De Grande211017.37
Allan Mariano de Souza3529.15
Fernanda S. H. Souza4175.80
Leandro A. Villas542355.86
Daniel L. Guidoni620523.49