Reconnaissance de comportements de navires dans une zone portuaire sensible par approches probabiliste et événementielle : application au Grand Port Maritime de Marseille

Abstract : The overall aim of this thesis was to create a decision support system that identifies discrepancies in ship behavior. The thesis was a part of the SECMAR project that aimed to improve security at the Marseilles harbor by the creation of decision support system for port staff. For this purpose, we developed a recognition behavior system consisting of two complementary sub-systems.The first system was based on the probabilistic Hidden Markov model approach and deals with nominal behavior of large to medium size commercial ships showing regular and recurrent behavior. The second system was based on the reactive synchronous language Esterel and concerns aggressive and transgressive behavior of small ships that may navigate freely in the harbor. Real-time evaluations showed that the proposed decision support system efficiently captured and evaluated ship behaviors. The promising results of the system and its diversity in origin makes it suitable for applications in other harbors as well as other environment such as airports.
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Salma Zouaoui-Elloumi. Reconnaissance de comportements de navires dans une zone portuaire sensible par approches probabiliste et événementielle : application au Grand Port Maritime de Marseille. Economies et finances. Ecole Nationale Supérieure des Mines de Paris, 2012. Français. ⟨NNT : 2012ENMP0022⟩. ⟨pastel-00737678⟩

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