Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/jspui/handle/123456789/15662
Title: Predictive congestion control based on collaborative information sharing for vehicular ad hoc networks.
Authors: Gomides, Thiago da Silva
Grande, Robson Eduardo de
Meneguette, Rodolfo Ipolito
Souza, Fernanda Sumika Hojo de
Guidoni, Daniel Ludovico
Keywords: Vehicular networks
Traffic management system
Communication protocols
V2V communication
Intelligent transportation systems
Issue Date: 2022
Citation: GOMIDES, T. S. et al. Predictive congestion control based on collaborative information sharing for vehicular ad hoc networks. Computer Networks, v. 211, artigo 108955, 2022. Disponível em: <https://www.sciencedirect.com/science/article/pii/S1389128622001347#!>. Acesso em: 06 jul 2022.
Abstract: Traffic jams are an essential and continuous challenge in our cities, responsible for socioeconomic and environmental concerns and an ambitious traffic jams management agenda is urgent. The distributed solutions in the literature for Traffic Management Systems (TMS) are heavily based on beacon messages or proactive communication protocols to share vehicular traffic information among vehicles. Thus, these solutions are not scalable when the number of vehicles increases in the network — when there are traffic jams. To overcome these problems, we propose a new VANET-based traffic management system named CoNeCT: Predictive Congestion Control based on Collaborative Information Sharing for Vehicular Ad hoc Networks. CoNeCT’s primary goal is to support vehicles’ collaboration in analyzing, predicting, and managing congestion. The proposed system was designed to decrease the number of messages by using a novel road segment load assessment that improves traffic flow classification. Vehicles aware of traffic conditions share it with their neighbors, and they can also request traffic views whenever necessary. Additionally, vehicles can detect significant traffic variations and predict future traffic conditions to improve roads’ overall traffic conditions, mitigating the congestion before it arises. Results obtained from an extensive performance analysis show CoNeCT’s ability to reduce traffic congestion with a low impact on the wireless communication medium, outperforming the state-of-art systems.
URI: http://www.repositorio.ufop.br/jspui/handle/123456789/15662
metadata.dc.identifier.uri2: https://www.sciencedirect.com/science/article/pii/S1389128622001347#!
metadata.dc.identifier.doi: https://doi.org/10.1016/j.comnet.2022.108955
ISSN: 1389-1286
Appears in Collections:DECOM - Artigos publicados em periódicos

Files in This Item:
File Description SizeFormat 
ARTIGO_PredictiveCongestionControl.pdf
  Restricted Access
1,79 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.