This article presents a visual application which allows a study and analysis of traffic behavior on major roads (more specifically freeways and highways), using as the main surveillance artefact a video camera mounted on a relatively high place (such as a bridge) with a significant image analysis field. The system described presents something new which is the combination of both traditional traffic monitoring systems, that is, monitoring to get information on different traffic parameters and monitoring to detect accidents automatically. Therefore, we present a system in charge of compiling information on different traffic parameters. It also has a surveillance module for that traffic, which can detect a wide range of the most significant incidents on a freeway or highway.

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Resumen -La revisión se dedica a relatar investigaciones a presentar una visión general de la investigación actuales en las áreas de análisis de sistemas complejos y la toma de decisiones por medio de herramientas inteligentes, incluyendo aquellas que son basadas en agentes. También compara las metodologías orientadas a agentes y los marcos de apoyo a la decisión. Por otra parte, tambien se presenta conclusiones sobre la necesidad de tener un framework que combine las dos características. Palabras clave -Toma de decisiones, agentes, metodología, frameworkAbstract -The review is devoted to related research and presents an overview of current research in areas of complex system analysis and decision making by the means of intelligent tools, including those that are agent-based. It also compares existing agent-oriented methodologies and frameworks for decision support. Furthermore, the chapter makes conclusions about the necessity of general framework, which would combine characteristics of the former and the latter.

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Trusted computing is a complex and multidimensional issue, and its application to embedded systems has some particularities not found in business and desktop computing. Trust