Abstract. This paper presents an application of Cellular Automata in the field of dry Granular Systems modelling. While the study of granular systems is not a recent field, no efficient models exist, from a computational point of view, in classical methodologies. Some previous works showed that the use of Cellular Automata is suitable for the development of models that can be used in real time applications. This paper extends the existing Cellular Automata models in order to make them interactive. A model for the reaction to external forces and a pressure distribution model are presented and analyzed, with numerical examples and simulations.
Abstract. In this paper a new cellular automata model suitable for granular systems simulation is presented. The proposed model is shown to be equivalent to a particularization of the well known BCRE model of granular systems and a correspondence between the parameters of the presented model and the BCRE model is also set, allowing to fit these parameters for a given system. The model has the advantage over other cellular automata models of being more realistic in the behavior of the surface of heaps and slopes. The dynamics of the CA is analyzed in order to confirm that it also has one of the most important features of these systems, 1/f noise.
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The whole process of converting a city into the new concept of Smart City implies the improvement of the efficiency and quality of services made available by governments and businesses and a corresponding increase in citizens' quality of life.This process requires a series of actions that include data collection, processing and use of this information for its dissemination among citizens. For example, it is necessary to promote the use and reuse of information from the government or private entities as open data and therefore made more useful and appropriate for citizens. Technologies such as sensor networks, ubiquity, connectivity infrastructure-vehicles and others, become essential elements to achieve this goal.In this paper we present some relevant aspects related to these lines of action in a Smart City and their application to the traffic management data in the city of Valencia.
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