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Improving the Vehicular Mobility Analysis Using Time-Varying Graphs

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Autor(es):
Diniz, Gabriel R. ; Cunha, Felipe D. ; Loureiro, Antonio A. F. ; IEEE
Número total de Autores: 4
Tipo de documento: Artigo Científico
Fonte: 16TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2020); v. N/A, p. 8-pg., 2020-01-01.
Resumo

The increase in the vehicular fleet in the last decade has caused several problems in urban scenarios. Modeling VANETs as graphs enables us to apply graph theory algorithms, allowing a more complex and deeper analysis of reality. In this work, we identify three different approaches to model vehicular networks and analyze two real well-know large-scale traces from Rome and San Francisco city. We perform analysis on the network aspect and in the vehicular aspect as an individual node. This analysis was made to verify which one can achieve the highest reliability and accuracy. (AU)

Processo FAPESP: 18/23064-8 - Mobilidade na computação urbana: caracterização, modelagem e aplicações (MOBILIS)
Beneficiário:Antonio Alfredo Ferreira Loureiro
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 15/24494-8 - Comunicação e processamento de big data em nuvens e névoas computacionais
Beneficiário:Nelson Luis Saldanha da Fonseca
Modalidade de apoio: Auxílio à Pesquisa - Temático