Development of a Decision Making Algorithm for Traffic Jams Reduction Applied to Intelligent Transportation Systems

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 s...

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Bibliographic Details
Main Authors: David Gómez, José-Fernán Martínez, Juana Sendra, Gregorio Rubio
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2016/9271986