CAST Schedule is a comprehensive and flexible software tool for precise and scalable airport traffic and passenger demand forecasting as well as flight schedule analysis and generation.
The tool combines traditional forecasting methods with machine learning techniques, enabling detailed calculations of future traffic volumes based on individual flight events. It supports short-term (daily), medium-term (monthly/seasonal), and long-term (year and beyond) forecasts for passengers, baggage, and cargo.
CAST Schedule can be used for top-down and bottom-up forecasting, incorporating factors such as future events, regional development potential, and macroeconomic indicators. A guided workflow allows users to develop realistic growth scenarios to support operational, tactical, and strategic planning.
APPLICATION AREAS
- Forecasting for operational, tactical, and strategic planning
- Demand and capacity planning (e.g., gate allocation, terminal congestion)- Infrastructure adaptation and development (e.g., expansion of terminals and airside areas, upgrades to baggage handling systems)
- Resource and workforce management (e.g., checkpoint demand estimates, staffing needs)- Budgeting and financial forecasting (e.g., aviation revenues, non-aeronautical income)
KEY FEATURES
- Composition of flight schedules from multiple sources
- Intuitive adjustment of schedules and comparison of different scenarios
- Flexible manipulation of aircraft movements, fleet changes, and loading factors-
- Sub-period and peak day considerations for more granular planning-
- Short-, medium- and long-term planning and forecasting of traffic volume