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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Platoon Grouping Network Offloading Mechanism for VANETs

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Autor(es):
Kamoi, Roger Nobuyuki [1] ; Pereira Junior, Lourenco Alves [1] ; Neto Verri, Filipe Alves [1] ; Cavalheiro Marcondes, Cesar Augusto [1] ; Gomes Ferreira, Carlos Henrique [2] ; Meneguette, Rodolfo Ipolito [3] ; Da Cunha, Adilson Marques [1]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Inst Tecnol Aeronaut, BR-12228900 Sao Jose Dos Campos, SP - Brazil
[2] Univ Fed Ouro Preto, Dept Comp & Syst, BR-35931008 Joao Molevade - Brazil
[3] Univ Sao Paulo, Dept Comp Syst, BR-13566590 Sao Carlos - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: IEEE ACCESS; v. 9, p. 53936-53951, 2021.
Citações Web of Science: 0
Resumo

The growth in the number of connected vehicles in ad-hoc networks or VANETs enables the use of increasingly sophisticated services and applications. One emerging application in this scenario is Platooning, a stable stream of connected autonomous vehicles. This application improves safety, vehicle flow on the road, energy consumption, among other variables. However, vehicles using this technology need to share space with vehicles not connected or with other automation levels. Among the bottlenecks in scenarios like this, Platoons formation and splits stand out, as these maneuvers involve costs and risk. Therefore, our contribution is developing a new strategy for Platoons formation in a mixed universe of vehicles to bring some of these desired benefits. The results show that the proposed solution achieved an accuracy of 89% of the entire amount of platoons in the datasets. Our experiments demonstrate cases with collisions, and the proposed solution provides a solution to a more safe operation on roads. Finally, we conclude that our solution provides more determinism in the traffic conditions, as vehicles achieving stationary speeds with low variation. (AU)

Processo FAPESP: 20/07162-0 - Serviços para um sistema de transporte inteligente
Beneficiário:Rodolfo Ipolito Meneguette
Modalidade de apoio: Auxílio à Pesquisa - Regular