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Descripción
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| This paper is aimed at developing a decision making algorithm for traffic jams reduction that can be applied to Intelligent Transportation Systems. To do so, these algorithms must address two main challenges that arise in this context. On one hand, there are uncertainties in the data received from sensor networks produced by incomplete information or because the information loses some of the precision during information processing and display. On the other hand, there is the variability of the context in which these types of systems are operating. More specifically, Analytic Hierarchy Process (AHP) algorithm has been adapted to ITS, taking into account the mentioned challenges. After explaining the proposed decision making method, it is validated in a specific scenario: a smart traffic management system. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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Journal of Sensors |
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ISSN
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1687-725X |
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Factor de impacto JCR
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0,712 |
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Información de impacto
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Factor de impacto según JCR |
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Volumen
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2016 |
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DOI
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10.1155/2016/9271986 |
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Número de revista
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2016 |
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Desde la página
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1 |
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Hasta la página
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16 |
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Mes
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SIN MES |
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Ranking
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cuartil: Q3 posicion: 183/257 |