| Texto completo | |
| Autor(es): |
Gomides, Thiago S.
[1, 2]
;
De Grande, Robson E.
[2]
;
de Souza, Allan M.
[3, 1]
;
Souza, Fernanda S. H.
[1, 4]
;
Villas, Leandro A.
[3]
;
Guidoni, Daniel L.
[1, 4]
Número total de Autores: 6
|
| Afiliação do(s) autor(es): | [1] Univ Fed Sao Joao del Rei, Dept Comp Sci, Sao Joao Del Rei - Brazil
[2] Brock Univ, Dept Comp Sci, St Catharines, ON - Canada
[3] Univ Estadual Campinas, Inst Comp, Campinas - Brazil
[4] Villas, Leandro A., Univ Estadual Campinas, Inst Comp, Campinas, Brazil.Gomides, Thiago S., Univ Fed Sao Joao del Rei, Dept Comp Sci, Sao Joao Del Rei - Brazil
Número total de Afiliações: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | COMPUTER COMMUNICATIONS; v. 159, p. 317-330, JUN 1 2020. |
| Citações Web of Science: | 0 |
| Resumo | |
Traffic Management Systems become an important challenge for large cities due to the constant growth of vehicles. As the road mesh does not increase as well as the number of vehicles in the streets, technological solutions for the traffic congestion rise as alternative and easy-to-use applications. This work presents the ON-DEMAND: An adaptive and Distributed Traffic Management System using VANETS. The proposed solution is based on V2V communication and the local view of traffic congestion. During its displacement in a road, the vehicle monitors its traveled distance and the expected one considering a free-flow traffic condition. The difference between these measurements is used to classify a contention factor, i.e., the vehicle perception on the road traffic condition. Each vehicle uses the contention factor to classify the overall congestion level and this information is proactively disseminated to its vicinity considering an adaptive approach. In the case a vehicle does not have the necessary traffic information to estimate alternative routes, it executes a reactive traffic information knowledge discovery. The proposed solution is compared with three literature solutions, named DIVERT, PANDORA and s-NRR. Our results showed that ON-DEMAND presents better results regarding network and traffic congestion metrics. (AU) | |
| Processo FAPESP: | 18/19639-5 - Soluções para sistemas de transporte inteligentes e cooperativos baseados na computação urbana |
| Beneficiário: | Leandro Aparecido Villas |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |