Collaborative and Infrastructure-less Vehicular Traffic Rerouting for Intelligent Transportation Systems

Resumo


This extended abstract provides an at-a-glance view of the main contributions of my Ph.D. work. The work aims to investigate and develop cutting-edge an infrastructure-less vehicular traffic management system in order to minimize vehicular traffic congestion and advance the state-of-the-art in intelligent transportation systems. The proposed solutions were widely compared with other literature solutions on different performance evaluation metrics. The evaluation results show that the proposed vehicle traffic management system is efficient, scalable, and cost-effective, which may be a good alternative to mitigate urban mobility problems.

Palavras-chave: Intelligent Transportation Systems, Vehicular Networks, Vehicular Traffic Rerouting

Referências

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Publicado
07/12/2020
AKABANE, Ademar Takeo; MADEIRA, Edmundo Roberto Mauro; VILLAS, Leandro Aparecido. Collaborative and Infrastructure-less Vehicular Traffic Rerouting for Intelligent Transportation Systems. In: CONCURSO DE TESES E DISSERTAÇÕES - SIMPÓSIO BRASILEIRO DE REDES DE COMPUTADORES E SISTEMAS DISTRIBUÍDOS (SBRC), 38. , 2020, Rio de Janeiro. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 193-200. ISSN 2177-9384. DOI: https://doi.org/10.5753/sbrc_estendido.2020.12419.