ARC provides capacity planning and assessment, analysis and capacity optimization services for all relevant airport system components considering aircraft and vehicle traffic as well as the passenger and baggage flows.
In general Airport Capacity Planning and Assessment defines all activities related to the capability of an airport system to handle a certain demand in flight and passengers.
The overall objective is the demand-oriented, balanced and sustainable use and development of infrastructure and operational procedures, taking into account economic, environmental and qualitative corporate objectives.
Further it comprises the long term strategic planning and development of the infrastructure, the medium term and tactical adaptation and the short term and operational optimization.
Typical objectives and goals of Airport Capacity Planning and Assessment
ARC has performed countless capacity planning and assessment studies and projects for customers around the world and is involved in the development of methodologies and CAST based tools for capacity assessment considering technologies like Big Data Analysis, Deep Learning and AI. Methods used and designed by ARC are compliant with international practices and are recommend by airports and authorities. They cover all degrees of aggregation from long term concept planning to detailed seasonal and tactical capacity prediction and operational and real time determination of capacity.
Capacity related projects can comprise the the whole airport system or focus on parts or components
According to the specific context and objectives of a project or study, different types and definitions of capacity and related KPI are considered. E.g.:
ARC’s services are customized to the specific requirements of each project / customer and among others may include:
State of the art for capacity determination is the use of the fast time simulation tool, where – depending on the task – the relevant system components are modelled with digital models in scalable granularity. By means of variation of (load) scenarios and parametrization, capacities and the corresponding KPIs can be determined even for complex systems. The CAST tools cover all areas and can be used separately or in combination, depending on the task.
