Airport Airside Capacity Optimization via Real-Time Demand Calculation
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Solution Overview
Problem
Current airport management systems fail to accurately predict and manage runway capacity bottlenecks, leading to inefficient use of airside resources, increased delays, and suboptimal traffic handling due to lack of comprehensive information and suitable tactical methods.
Innovation Solution
The CAPMAN software program calculates current airport capacity and traffic demand using online data, integrating with air traffic control systems to optimize runway usage, uncover hidden capacity reserves, and improve punctuality by determining take-off and landing capacities in predetermined intervals, thereby enabling coordinated control measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional airport management systems are used without comprehensive calculation models, then system simplicity is maintained, but capacity prediction accuracy and bottleneck detection timing deteriorate significantly
Solution Approach 1:
The system segments the airport airside capacity management into distinct functional modules: a calculation model module that computes available capacity based on infrastructure and operational parameters, a prediction module that forecasts bottleneck situations, and a control module that generates coordinated measures. This segmentation allows each module to specialize in specific tasks, improving overall prediction accuracy while maintaining manageable system complexity through modular design.
Solution Approach 2:
The patent introduces an intermediary calculation model that acts as a mediator between raw airport operational data and decision-making processes. This model translates complex infrastructure characteristics, operational parameters, and weather conditions into quantifiable capacity predictions, enabling accurate bottleneck detection without requiring direct complex interactions between all system components.
2Productivity
If coordinated control measures are implemented based on complete information, then airside resource utilization is optimized, but information processing requirements and system complexity increase
Solution Approach 1:
The system performs preliminary calculations of available airside capacity and forecasts potential bottleneck situations before they occur. By pre-computing capacity based on infrastructure characteristics, operational parameters, and weather forecasts, the system enables early intervention and coordinated control measures, optimizing resource utilization without requiring complex real-time processing during critical periods.
Solution Approach 2:
The patent implements feedback mechanisms where the calculation model continuously receives updated operational data, weather information, and actual capacity utilization metrics. This feedback loop allows the system to adjust predictions and control measures dynamically, improving resource utilization while managing information processing complexity through iterative refinement rather than exhaustive real-time analysis.
3Loss of time
If early and adjusted reactions to bottlenecks are implemented, then delays are reduced, but prediction timing and accuracy requirements increase system demands
Solution Approach 1:
The system performs preliminary bottleneck predictions by calculating available capacity and forecasting potential bottlenecks before they materialize. This advance prediction capability, based on infrastructure characteristics, operational parameters, and weather forecasts, enables early reactions that reduce aircraft delays without requiring ultra-precise real-time measurement during the bottleneck event itself.
Solution Approach 2:
The patent implements dynamic prediction capabilities that adapt to changing conditions. The calculation model continuously updates capacity assessments based on current operational data and weather forecasts, allowing prediction timing and accuracy to adjust dynamically rather than relying on fixed thresholds. This dynamic approach reduces delays by enabling timely reactions while managing system demands through adaptive rather than static requirements.
4Productivity
If unilateral preferential treatment of inbound traffic is avoided through coordinated management, then overall system performance improves, but coordination complexity between approach and departure increases
Solution Approach 1:
The patent implements a universal calculation model that assesses airside capacity for both inbound (landing) and outbound (take-off) traffic simultaneously. Rather than treating approach and departure separately with unilateral preferences, the model provides a unified capacity assessment that enables coordinated control measures for both directions, improving overall system performance while managing coordination complexity through a single multi-functional framework.
Data Source
AI summary
A method for optimized use of the airside capacities of an airport, in which by means of electronic data processing system a current operating capacity of the airport and a current traffic demand are calculated. Information for an optimized use of the available resources is determined and outputted based on the current operating capacity and the current traffic demand. Further provided are an information system and a control system for optimum runway use and a software program for executing the method.