Aircraft Traffic and Processes
The tools simulates the aircraft traffic at and around an airport considering its infrastructure, rules, restrictions, and operational strategies.
With ZTC Aircraft, operations and infrastructure can be rapidly evaluated in scalable levels of details, for example to optimise operations, plan new infrastructure or assess a system's capacity. Various performance indicators can be logged for extensive analysis and can already be assessed during the simulation run via simulation-synchronous animation and in-run analysis functionalities such as graphs or colour-coding.
Part of the ZTC Aircraft traffic generation is a central flight schedule handling system. Following the courses of the schedule, flights are performed. Based on probabilities, delays and schedule deviations can be considered.
The dynamic gate allocation takes into account all relevant flight information. Restrictions and priorities can be defined according to real live stand allocation.
Operational concepts define how aircraft are taxiing and how runways are used. For process definitions like routing or push-back it is possible to define detailed rules or use automated functions. The runway sequencing is based on ATC rules and calculates the minimum required separations considering required wake vortices, radar separations, runway occupancy times, departure separation and the individual properties of an aircraft.
It included comprehensive 3D visualisation not only supports an efficient use and analysis but also is an essential feature in order to provide meaningful presentations of results to customers and convince decision makers.
- Setup of runway and taxiway network by predefined modules
- Import of runway and taxiway network from CAD
- Schedule based generation of flights
- Dynamic gate allocation and aircraft routing
- Runway utilisation according to specific rules and restrictions
- Microscopic movement behaviour
- Conflict detection and recognition during taxiing
- Accurate calculation of delays, taxi-times and other process parameter
- Use of stochastic distributions