Abstract
The context of our work is the complex systems simulation. Complex systems modelling and simulation require to take into account the interactions between the different components. For instance, an airport ground traffic simulation requires to model the planes with the pilots, the control tower, the weather, etc. together with their interactions, e.g. the communications between the pilots and the control tower (authorizations and acknowledgements), the weather impact on the routing rules, etc. Air transport systems undergo continuous evolution in order to adapt to future performance, quality and safety requirements. This implies that the operational use of new techniques in navigation, communications, surveillance, regulations and computer based assistance/automation systems. In the context of the future air transportation systems, airports will play a critical role since they have to face serious environmental (noise impact) and operational restrictions which reduce their potential capacity. In order to meet the projected airport demand and to improve efficiency of ground operations while maintaining safety, several new operational concepts are currently under investigation, including new regulations or operational concepts, and advanced equipment or computer-based assistance systems. The French Aerospace Lab (Onera) is participating in this effort through the design of a modeling and simulation infrastructure for the acquisition and analysis of airport operational concepts and equipment. This simulation is a distributed simulation that is built with the different specialized simulators (by example one simulator manages the different airplane position, another display airplane...). These simulators communicate between them with a computer network. The communication protocol used is High Level Architecture norm. HLA normalizes the communication between the simulation components. The communication between simulation components are exchanges of objects (they have a duration and a life cycle with creation, update and destruction) and interactions (message with no duration). The simulation architecture is in Figure 1. The different circles represent the different simulators. In our example we mainly use the communication emitted by the TR simulator. The TR simulator manages the airplanes in the simulation.
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Bertrand, O., Carle, P., & Choppy, C. (2009). Modelling chronicle recognition for distributed simulation processing with coloured petri nets. In SIMUTools 2009 - 2nd International ICST Conference on Simulation Tools and Techniques. ICST. https://doi.org/10.4108/ICST.SIMUTOOLS2009.5665
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