Please use this identifier to cite or link to this item:
http://repositorio.ufla.br/jspui/handle/1/15054| metadata.ojs.dc.title: | Mathematic modeling and performance analysis of an adaptive congestion control in intelligent transportation systems |
| metadata.ojs.dc.creator: | Naja, Rola |
| metadata.ojs.dc.subject: | Intelligent transport system Congestion control Performance analysis Mobility model |
| metadata.ojs.dc.publisher: | Universidade Federal de Lavras (UFLA) |
| metadata.ojs.dc.date: | 1-Jun-2015 |
| metadata.ojs.dc.identifier.citation: | NAJA, R. Mathematic modeling and performance analysis of an adaptive congestion control in intelligent transportation systems. INFOCOMP Journal of Computer Science, Lavras, v. 14, n. 1, p. 38-49, jun. 2015. |
| metadata.ojs.dc.description: | In this paper, we develop a preventive congestion control mechanism applied at highway entrances and devised for Intelligent Transportation Systems (ITS). The proposed mechanism provides a vehicular admission control, regulates input traffic and performs vehicular traffic shaping. Our congestion control mechanism includes two classes of vehicles and is based on a specific priority ticket pool scheme with queue-length threshold scheduling policy, tailored to vehicular networks. In an attempt to cope with vehicular traffic fluctuation, we integrate an adaptation ticket generation module. The enhanced mechanism is then able to detect road congestion and provide performance metrics to road site units at the highway entrance. Mathematical modeling based on the embedded Markov chain method highlights the benefits of the proposed scheme. Performance analysis demonstrates the mechanism capability to accurately characterize road traffic congestion conditions, shape vehicular traffic and reduce travel time. |
| metadata.ojs.dc.language: | eng |
| Appears in Collections: | Infocomp |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ARTIGO_Mathematic modeling and performance analysis of an adaptive congestion control in intelligent transportation systems.pdf | 957,22 kB | Adobe PDF | View/Open |
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