MATEC Web Conf.
Volume 259, 20192018 6th International Conference on Traffic and Logistic Engineering (ICTLE 2018)
|Number of page(s)||6|
|Section||Intelligent Transportation and Management|
|Published online||25 January 2019|
ATM change management: An evolutionary and agent-based approach
1 Italian Aerospace Research Centre, 81043 Vai Maiorise Capua, Italy
2 Centro De Referencia Investigacion Desarrollo e Innovacion ATM A.I.E. Avda. de Aragón 402, Madrid, Spain
3 Universitat Autònoma De Barcelona C/ dels Emprius n° 2, Barcelona, Spain
4 Institute For Sustainable Society And Innovation, Via F.Napolitano 219 Nola, Italy
5 Projectos, Empreendimentos, Desenvolvimento E Equipamentos Científicos E De Engenharia
6 ASLOGIC, Avda. Electricitat 1-21, Barcelona, Spain
Air Traffic Management (ATM) is a complex socio-technical system, whose behaviour depends on a combination of various subsystems of different nature: societal, technical, and human. Due to such aspects, it is difficult to understand which could be the part to be changed in order to improve performances, or which is the impact of a change on the overall performances. Such tasks are though issues, and cannot be easily performed. In this work, a new approach for the ATM change management process is proposed. It aims to introduce an innovative multidisciplinary process by combining the following different paradigms: the agent-based paradigm for the modelling of a change solution and the assessment of the achieved performances; the evolutionary computing paradigm for the tuning of the change: the sensitivity analysis to understand which part of the ATM system should be changed in order to match the targeted performance levels.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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