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The operations of take-off and landing at hub airports are often subject to a wide variety of delays; the effects of these delays impact not only the related stakeholders, such as aircraft operators, air-traffic control unity and ground handlers but as part of the European network, delays are propagated through the network. As a result, Airport Collaborative Decision Making (A-CDM) is being employed as a methodology for increasing the efficiency of Air Traffic Management (ATM), through the involvement of partners within the airports. Under CDM, there are some strategic common objectives regardless the airport or the partner specific interest to improve operational efficiency, predictability and punctuality to the ATM network and airport stakeholders. Monitoring and controlling some strategic areas such as, Efficiency, Capacity, Safety and Environment is needed to achieve the benefits. Therefore, the present work aims to provide a framework to monitor the accuracy of capacity in the three main flight phases. It aims to provide a comprehensible and practical approach to monitoring capacity by identifying and proposing Key Performance Indicators (KPIs) based on the A-CDM Milestone Approach to optimise the use of available capacity. To illustrate our approach, Amsterdam Airport Schiphol is used as case study as a full A-CDM airport.

Recently, the super heavy aircraft A380 started operations between Mexico City and Paris, and it has been announced daily operations in March. In addition, Lufthansa and Emirates are also willing to use the A380 to operate from Frankfurt and Dubai to Mexico, respectively. However, in recent years, Mexico City International Airport has been reporting severe congestion problems and it is a concern whether these problems can be overcome with the current facilities and procedures together with the increasing aircraft demand. In this article, a capacity analysis of the operation performed in the airport is presented using information for a particular high-season day. A model-based approach which allows simulating the daily operation of the A380 is presented. This approach allows incorporating most of the restrictions besides the stochasticity inherent to the system.