The Airport Network information eXchange Model (ANXM), based on the airport-related ICAO Annex 14 and Doc 4444, is a XML-based model that enables paper-less mechanisms to be developed for timely and efficient airport information sharing for the purpose of airport strategic and tactical planning at local, regional, national, and international levels.
What is the scope of ANXM?
The Airport Network Exchange Model (ANXM) consists of a set of UML diagrams that conceptually define elements of airport network information, as well as a XML Schema that enables the conceptual model to be implemented. The ANXM model is an abstract formalisation of the concepts involved in airport network information. By itself, the ANXM performs no function in the software sense; the objective is indeed to facilitate the development and usage of cross-platform applications, and to provide airport stakeholders with a common basis for exchanging information whilst increasing interoperability.
The ANXM mainly addresses ground surface where airport operations (airside, landside) take place. In addition to the relevant geospatial information, the ANXM features include the following pieces of information:
- The airport/heliport: this feature is related to airport areas, guidance lines and their availability. Moreover, general information such as declared capacity, maximum realised handling capability curves, and planning scenarios based on traffic forecast are part of this feature;
- Apron and stands, including usage statistics on stand occupancy, queue length, sustained capacity, apron utilization and services;
- Runway, including operational scenarios and related theoretical dynamic capacity for the purpose of airport planning and management;
- Taxiway, including information on ground traffic efficiency analysis and related bottlenecks. This information is composed of taxiway utilisation, taxi time, time lost in conflict detection and resolution, average queue length on various taxiway segments, and usage statistics per physical elements of the taxiway. Coupled with the appropriate geospatial information, ground traffic efficiency information enables situational awareness to be considerably enhanced (e.g. for the purpose of advanced surface movement guidance and control system – ASMGCS);
- Aircraft movements, reflecting throughput, traffic mix and fleet mix;
- Operational services; and
- Weather statistics, enabling the correlation with operational runway configuration to be made, resulting in constrained runway capacity. It provides weather frequency and probability distribution of meteorological conditions based on the analysis of meteorological aerodrome records (METAR) and terminal aerodrome forecasts (TAF).
The following document provides important information on various aspects of ANXM and related models: Draft ANIM, ANCM and ANXM models (pdf)