Flight Plan Request Adjudication for Equitable Airspace Access
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Solution Overview
Problem
Existing airspace resource management systems often prioritize a first-come, first-served approach, which can be exploited by 'greedy' operators to monopolize airspace, leading to inequitable access and potential safety hazards as autonomous systems lack human oversight.
Innovation Solution
A system analyzes flight intent data to identify expected distributions and flags excessive requests, allowing for equitable access by denying or demoting requests from 'greedy' operators, ensuring fair use of airspace resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a first-come, first-served approach is used for airspace access, then simplicity of resource allocation is improved, but equitable access deteriorates as greedy operators can monopolize airspace
Solution Approach 1:
The system implements feedback mechanisms by monitoring flight intent submissions and comparing them against expected distribution patterns. When an operator's submissions deviate from expected norms (indicating greedy behavior), the system automatically adjusts resource allocation by denying or demoting those requests, creating a closed-loop control system that maintains equitable access while preserving allocation simplicity
Solution Approach 2:
The system changes the parameter of resource allocation from purely temporal (first-come, first-served) to a composite parameter that includes both timing and equity metrics. By introducing expected distribution patterns as a reference parameter, the system can dynamically adjust allocation decisions to prevent monopolization while maintaining operational simplicity
2Productivity
If autonomous systems are used for airspace management, then productivity is improved through automation, but safety deteriorates due to lack of human oversight
Solution Approach 1:
The system implements self-service by enabling autonomous detection and correction of greedy behavior patterns without human intervention. The automated system monitors flight intent submissions, identifies deviations from expected distributions, and automatically denies or demotes problematic requests, maintaining both high productivity and safety through self-regulating algorithms
Solution Approach 2:
The system applies preliminary anti-action by proactively identifying and blocking greedy submissions before they can disrupt airspace equity. By detecting patterns of excessive flight intent submissions in advance and automatically counteracting them through denial or demotion, the system prevents safety issues before they arise, maintaining autonomous operation with built-in protective measures
3Ease of operation
If greedy operators are allowed to submit excessive flight intents, then their individual access is improved, but overall resource distribution deteriorates
Solution Approach 1:
The system applies partial action by allowing operators to submit flight intents up to their expected distribution thresholds but blocking excessive submissions beyond those thresholds. This approach preserves operator freedom for legitimate requests while automatically preventing monopolization attempts, maintaining both individual access rights and overall resource equity
Solution Approach 2:
The system implements dynamic adjustment of allocation rules based on real-time monitoring of submission patterns. Expected distribution patterns are established as dynamic thresholds that automatically adjust allocation decisions, allowing operator freedom within normal ranges while dynamically blocking excessive requests that threaten resource equity, creating a flexible yet equitable system
Data Source
AI summary
A method includes obtaining information associated with requests to access at least one shared resource. The requests are associated with multiple requestors wishing to access or use the at least one shared resource. The method also includes generating at least one expected distribution of requests. The at least one expected distribution of requests defines one or more expected or desired characteristics of the requests. The method further includes granting one or more first ones of the requests in response to determining that the one or more first ones of the requests have the one or more expected or desired characteristics. In addition, the method includes denying or demoting one or more second ones of the requests in response to determining that the one or more second ones of the requests do not have the one or more expected or desired characteristics.