Flight Trajectory Delay Risk Transfer With Automated Compensation
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Solution Overview
Problem
Current air traffic management systems face inefficiencies in predicting flight trajectories and handling flight delays, leading to frequent delays and complex, time-consuming compensation processes for passengers and goods, as existing systems struggle with real-time monitoring and automated risk transfer.
Innovation Solution
A self-sufficient, automated flight trajectory prediction system that pools resources and risk exposure of multiple units, using a core engine with a trigger module and payment-transfer modules to dynamically adjust and cover losses associated with flight delays, incorporating machine learning and dynamic pricing based on historical and real-time data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual claim processing is used for flight delay compensation, then verification accuracy can be maintained, but processing time becomes excessively long and labor-intensive
Solution Approach 1:
The system enables automated self-service processing where the compensation system automatically verifies flight data, validates delay conditions, and executes compensation payments without manual intervention. The system uses automated data exchange with flight information systems to verify delays and triggers compensation based on pre-defined rules, eliminating the need for manual claim processing while maintaining accuracy through systematic validation protocols
Solution Approach 2:
The patent replaces manual mechanical processing with automated electronic systems. Flight data is automatically captured from air traffic control systems and flight information systems, processed through computational algorithms that validate delay conditions, and compensation is electronically transferred. This substitution of manual operations with automated information processing and electronic payment systems resolves the contradiction between verification accuracy and processing speed
2Reliability
If traditional flight delay insurance systems are used, then comprehensive risk coverage can be provided, but system complexity and operational costs increase significantly
Solution Approach 1:
The system extracts and isolates the specific function of flight delay compensation from complex traditional insurance systems. It focuses solely on capturing flight data, validating delay conditions, and executing compensation payments. By separating this specific function from comprehensive insurance operations, the system maintains reliable risk coverage for flight delays while eliminating unnecessary complexity associated with broader insurance product management
Solution Approach 2:
The compensation system is designed to work universally with multiple data sources including air traffic control systems, flight information systems, and various airline operations centers. It uses standardized data exchange protocols that enable it to process compensation claims across different airlines and airports without requiring complex customization, thereby maintaining reliable coverage while reducing system complexity through standardized multi-functional interfaces
3Productivity
If real-time automated compensation is implemented, then passenger satisfaction and system credibility increase, but infrastructure requirements and operational costs rise
Solution Approach 1:
The system merges the compensation processing function with existing flight information systems and air traffic control data infrastructure. By integrating with already-established systems that capture flight data and monitor aircraft positions, the system achieves real-time automated compensation without duplicating infrastructure. This consolidation allows rapid compensation processing while avoiding the need for separate dedicated infrastructure, thereby reducing operational costs
Solution Approach 2:
The system uses existing flight information systems and data exchange networks as intermediaries to obtain real-time flight data. Rather than building its own data collection infrastructure, it leverages established communication channels between air traffic control, airlines, and airports. This intermediary approach enables real-time compensation processing while minimizing infrastructure requirements by utilizing existing data pipelines and communication protocols
4Measurement precision
If dynamic pricing based on real-time data is used, then pricing accuracy and risk pooling efficiency improve, but data processing requirements and computational loads increase
Solution Approach 1:
The system performs preliminary actions by pre-calculating compensation amounts and pricing parameters based on historical data and pre-defined risk models. Compensation rules, delay thresholds, and pricing factors are established in advance, allowing the system to quickly apply pre-computed values to real-time flight data without requiring complex computational analysis during actual compensation events. This preliminary preparation maintains pricing accuracy while reducing real-time computational demands
Data Source
AI summary
A method and automated flight trajectory prediction and flight trajectory-borne automated delay risk-transfer system related to airspace risks for risk sharing of a variable number of risk-exposed units by pooling resources of the risk-exposed units and by providing the risk-transfer system as a self-sufficient operatable risk-transfer system based on the pooled resources for the risk-exposed units by a resource-pooling system associated with the risk-transfer system. The risk-exposed units are connected to the risk-transfer system by a plurality of payment-transfer devices configured to receive and store payments from the risk-exposed units for the pooling of their risks and resources, and an automated transfer of risk exposure associated with the risk-exposed units is provided by the risk-transfer system.