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    Ship bridge simulators for training in maritime domain
    (2015-12-16) Chiurco, Alessandro; Pagnotta, Leonardo; Longo, Francesco
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    Innovative solutions for cooperative training in the maritime domain
    (2014-10-28) Nicoletti, Letizia; Pagnotta, Leonardo; Mirabelli, Giovanni
    The chapter presents the general architecture of the CTSIM framework that is an advanced solution for cooperative training of car terminal operators. This chapter is mostly focused on the vehicle simulator and on the operator simulator that are mainly addressed to drivers and parkers operators. Indeed, the analysis of car terminals operational processes has clearly shown that their performance has a direct influence upon the overall system performances. Before going into the substance of the CTSIM design and development, a preliminary study of the state of art has been carried out. The literature review has confirmed that Modeling & Simulation has been profitably used for operators training in port environments. Indeed, many simulators are currently available for training of different operators, namely ships pilots, forklift operators, Reach Stacker operators, Straddle Carrier operators, Gantry Crane operators, Offshore Crane operators, Tower Crane operators, etc. However, there is a lack of research in the field of 3D Virtual Simulators for operators working in car terminals. Moreover the analysis of the current procedures used in car terminals has further validated the research idea CTSIM relies on confirming the potential benefits of Modeling & Simulation in such a dynamic and complex environment. In such a context, the high number of procedures that each person has to learn and how workers interact each other are relevant, therefore CTSIM is a modular simulators system composed by three interoperable simulators: an Operator Simulator, a Ship Simulator and a Vehicle Simulator. The Vehicle Simulator is able to simulate a medium car, a truck (tractor and trailer) and all the procedures performed by a driver in a car terminal while the Operator Simulator simulates with a high accuracy all the movements and gestures of a parker thanks to a technical solution which the Kinect, a tracking glove and a joystick are part of. The simulators that are part of CTSIM are integrated according to the paradigms of distributed simulation so as to be able to interact each other sharing the same virtual environment. The connection is guaranteed by a TCP/UDP protocol also able to work on separated computers; this way it is possible to have more than one Vehicle Simulator and more than one Operator Simulator for cooperative training.
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    Model-based and simulation-driven methods for the reliability and safety analysis of systems
    (2013-11-28) Tundis, Andrea; Greco, Sergio; Garro, Alfredo
    In several industrial domains such as automotive, railway, avionics, satellite, health care and energy, a great variety of systems are currently designed and developed by organizing and integrating existing components (which in turn can be regarded as systems),that pool their resources and capabilities together to create a new system which is able to o er more functionalities and performances than those o ered by the simple sum of its components. Typically, the design and management of such systems, whose properties cannot be immediately de ned, derived and easily analyzed starting from the properties of their parts when they are considered in stand-alone, require to identify and face with some important research issues. In particular, the integration of system components is a challenging task whose criticality rises as the heterogeneity and complexity of the components increase. Thus, suitable engineering methods, tools and techniques need to be exploited to prevent and manage the risks arising from the integration of system components and, mainly, to avoid their occurrence in the advanced phases of the system development process which may result in a signi cant increase in the entire project costs. To overcome these issues the adoption of the Systems Engineering approach represents a viable solution as it provides a wide set of methods and practices which allow the de nition of the system architecture and behavior at di erent abstraction level in terms of its components and their interactions. Moreover, systems requirements are constantly traced during the di erent system development phases so to clearly specify how a system component concurs to the ful llment of the requirements. However, in the Systems Engineering eld, even though great attention has been devoted to functional requirements analysis and traceability, there is still a lack of methods which speci cally address these issues for non-functional requirements. As a consequence, the analysis concerning if and how non-functional requirements are met by the system under development is not typically executed contextually to the design of the system but still postponed to the last stages of the development process with a high risk of having to revise even basic design choices and with a consequent increase in both completion tim and development costs. Among all system requirements, Reliability and Safety are important non-functional requirements. Especially for mission-critical systems, there is a strong demand for new and more powerful analysis tools and techniques able not only to verify the reliability indices and safety of a system but also to exibly evaluate the system performances and compare di erent design choices. In this context, the research aimed to promote the use of exible methods for the analysis of non-functional requirements by focusing on the de nition of: (i) model-based method for system reliability analysis centered on popular SysML/UML-based languages for systems modeling and on de-facto standard platforms for the simulation of multi-domain dynamic and embedded systems (Mathworks Simulink); (ii) a methodological process for supporting the safety analysis, along with an approach for performing the Fault Tree Analysis of cyber-physical systems, mainly based on the Modelica language and OpenModelica simulation environment. Furthermore, in order to support the representation of system requirements and thus enable their veri cation and validation during the design stages, a meta-model for modeling requirements of physical systems as well as di erent approaches for extending the Modelica language have been proposed. Moreover, an algorithm, which allows trace and evaluate requirements violation through simulation, has been de ned. Finally, the e ectiveness of the proposed methods and approaches, especially in the modeling and analysis of both the expected and dysfunctional system behavior, is the result of an intensive experimentation in several industrial domains such automotive, avionics and satellite
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    Formulazione, calibrazione e validazione di un modello di simulazione microscopica del deflusso veicolare
    (2013-11-29) Giofrè, Vincenzo Pasquale; Astarita, Vittorio; Olivito, Renato Sante
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    Workplace design methodology based on modeling & simulationRisorsa elettronica
    (2010-11-23) Cimino, Antonio; Longo, Francesco; Rizzuti, Sergio
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    Topics in real-time fleet management
    (2014-06-06) Manni, Emanuele; Grandinetti, Lucio; Ghiani, Gianpaolo; Barrett, W. Thomas
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    Fundamental aspects in metal cutting modelling
    (2014-04-07) Rizzuti, Stefania; Rizzuti, Sergio; Filice, Luigino
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    Super peer models for public resource computing
    (2014-03-06) Cozza,Pasquale; Talia,Domenico