| Texto completo | |
| Autor(es): |
Akabane, Ademar T.
;
Gomes, Rafael L.
;
Pazzi, Richard W.
;
Madeira, Edmundo R. M.
;
Villas, Leandro A.
;
IEEE
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE; v. N/A, p. 6-pg., 2017-01-01. |
| Resumo | |
Urban mobility becomes one of the most challenging issues in large urban centers, since traffic congestion is a daily problem. In order to address this issue, a number of researchers, from both academia and industry, have studied several Traffic Management Systems (TMS) approaches to improve urban mobility. However, the existing approaches do not consider an essential factor: the population information. Within this context, this work proposes a new approach, called APOLO, that employs historical knowledge of mobility patterns of the drivers to obtain a global view of road network. APOLO is different from others research approaches that need constant information exchange among the vehicles and the central server in order to obtain a global view of road traffic condition. These existing approaches can lead to network overload and have a high data processing cost in real-time. Results show that APOLO improves vehicles' mobility compared to well-known approaches, which indicates that APOLO could be a potential alternative for providing TMS services with valuable mobility knowledge. (AU) | |
| Processo FAPESP: | 16/24454-9 - Agregação de Dados em VANETs |
| Beneficiário: | Ademar Takeo Akabane |
| Modalidade de apoio: | Bolsas no Exterior - Estágio de Pesquisa - Doutorado |
| Processo FAPESP: | 15/25588-6 - Gerenciamento distribuído de informação em redes sociais veiculares |
| Beneficiário: | Ademar Takeo Akabane |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |