Growing pressure on resources, seasonal peaks, and uncertainties in flight planning – along with demand and capacity balancing – are some of the key challenges airports face today. The ability to make informed decisions based on realistic, flexible, and scalable forecasts has become essential – not only for long-term development but also for day-to-day operations. CAST Schedule is our answer to these challenges.

CAST SOLUTIONS has received the Airport Excellence Award in the category Innovation and Technology at the Saudi Airport Exhibition 2024. The CAST SOLUTIONS provide benefits for airports, airlines, and most importantly, passengers – from shorter waiting times and smoother operations to better resource planning. This award strengthens our commitment to continuing our innovation efforts and we are excited to contributing to the aviation growth.

Learn how to leverage the benefits of real-time pax prediction to improve operational quality and reduce costs – from shorter waiting times and smoother operations to better resource planning.

The next CAST User Conference will be held in Paris (France) on 02-03 December 2024, hosted by Groupe ADP/Paris Aéroport. The CAST community can look forward to interesting new CAST features and case studies, giving you ideas how to improve your work.

ARC is pleased to announce the schedule for the CAST Training Courses. Our trainings include courses for CAST beginners of the corresponding CAST module as well as training options for more advanced users to enhance your skills. We are offering the next trainings remote as webinar courses to make it easier for you to participate even with current travel restrictions.

Let’s get ready for lift-off! CAST has made the next step into air: Based on the proven CAST Aircraft platform, ARC’s new product CAST Airspace is widely extending your options in airspace capacity studies, new organization of routes or sectors as well as procedure changes.

ARC and Amsterdam University of Applied Sciences with Zurich Airport as an industrial partner just completed the mFund project ‚A-Boost – Next Generation Allocation‘. The goal of the project was to apply machine learning, optimization, and simulation techniques to improve the CAST Software for resource allocation at an airport to better deal with operational uncertainties.

After another challenging year, we are eager to see our CAST users again! Unfortunately, travel restrictions still make it difficult to meet in person. Thus, we are planning this year's CAST User Conference as webmeeting on 18th Nov 2021. Save the date in your calender now! You can look forward to interesting new CAST features, extensions and case studies, giving you ideas how to improve your simulation studies. Registration will open shortly.

Airport Research Center GmbH and Amsterdam University of Applied Sciences cooperate as research partners in this project to take aircraft stand allocation to a new level. This is made possible by by applying Artificial Intelligence (AI) based data analysis methods to predict the expected schedule variance and anticipate this in stand planning. The project is being funded by the German Federal Ministry of Transport and Digital Infrastructure via mFUND.

Together with ARC, Hong Kong International Airport (HKIA) is implementing a CAST based solution to predict the capacity situation on the day of operation and to be able to carry out strategic and tactical planning of the airport processes. Furthermore, the system allows all stakeholders a common view on the planned capacity situation and expected demand at all terminal processes.

In a global effort to overcome the COVID crisis, many authorities around the world are currently setting up vaccination centers. ARC has therefore developed a CAST simulation model to represent all processes of such a vaccination center in a realistic 3D environment. By analyzing various scenarios and stress tests, the planned configuration of the vaccination center can be verified and optimized to avoid potential bottlenecks.

The goal of the EU funded IMHOTEP project is to develop a concept of operations and a set of data analysis methods and tools that allow information sharing, common situational awareness and real-time collaborative decision-making between airports and ground transport stakeholders.