Download or read book Entorno de simulación basado en agentes para A-CDM (Airport Collaborative Decision Making) written by Xavier Morell Llorens and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the increased air traffic in Europe, airports have to handle traffic volumes near to its maximum capacity. This makes it mandatory to take measures to improve the efficiency and capacity of airports. To improve the capacity of airports, the different actors in them must communicate with each other in order to improve the way they manage the traffic. Airport Collaborative Decision Making (A-CDM) is based on information sharing. A better use of resources can be attained when the different stakeholders at airport operations share their more accurate and updated information. One of the main difficulties when dealing with this information sharing concept is the number of stakeholders involved and their different interest and behaviour: aircraft operators, ground handling companies, airport authority, air traffic control and the Central Flow Management Unit. It is paramount to quantify the benefit of an airport collaborative decision making strategy in order to involve all these different organisations. Simulations are required to analyse the overall system and its emerging behaviour. This project presents the development and initial testing of an agent-based framework, which allows this behavioural analysis to be done. The simulator explicitly represents the different stakeholders involved in the A-CDM and the interactions between them during the 16 milestones defined by EUROCONTROL on its A-CDM implementation manual, also different functionalities have been implemented to add realism to the simulations, such as the possibility to add delays and adverse conditions to the air traffic and to analyse the different results of the different simulations. This framework allows independent gradual development of local behaviours and optimisation, and a gradual increase on complexity and fidelity on the simulations.