Airport Priority Matching System for Dynamic Provider Reservations
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Solution Overview
Problem
Conventional transportation network systems face operational and accuracy issues in congested airport environments, leading to inefficient matching of provider devices and requester devices due to location ambiguity, inflexibility, and computational inefficiencies.
Innovation Solution
An airport priority matching system that utilizes global positioning information to dynamically reserve provider devices for time priority airport transportation requests, employing strategies like tiered staging locations, pre-dispatch reservations, and priority queuing to improve accuracy, flexibility, and efficiency in generating matches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional systems use first-in-first-out matching model in airport environments, then operational simplicity is maintained, but matching accuracy and flexibility deteriorate due to location ambiguity and device imbalances
Solution Approach 1:
The patent implements dynamic matching models that adapt to real-time conditions in airport environments. The system transitions from static first-in-first-out queuing to dynamic algorithms that consider location accuracy, device imbalances, and environmental factors. This allows the system to flexibly adjust matching criteria based on current operational conditions, resolving the contradiction between operational simplicity and matching accuracy.
Solution Approach 2:
The system changes matching parameters dynamically based on airport-specific conditions. It adjusts location tolerance thresholds, matching priority weights, and device selection criteria according to real-time environmental data. This parameter adaptation enables accurate matching despite location ambiguity while maintaining operational manageability through automated parameter adjustment.
2Adaptability or versatility
If conventional systems deviate from first-in-first-out model to improve flexibility, then matching flexibility improves, but computational efficiency deteriorates due to increased communications and re-routing
Solution Approach 1:
The patent applies preliminary actions by pre-calculating and caching location data, route information, and device characteristics before matching occurs. The system performs preliminary filtering and validation of potential matches, reducing the computational burden during actual matching operations. This allows flexible matching algorithms to run efficiently by minimizing real-time computational requirements and network communications.
Solution Approach 2:
The system extracts and separates computationally intensive tasks from the real-time matching process. It pre-processes location data, validates device compatibility, and prepares candidate matches outside the critical matching path. This extraction reduces bandwidth utilization and processing power requirements during active matching while maintaining flexibility through the prepared candidate pool.
3Quantity of substance
If conventional systems increase provider device supply in airport regions, then service coverage improves, but location identification accuracy deteriorates due to crowded terminal areas and overlapping roadways
Solution Approach 1:
The patent implements location quality weighting that assigns different accuracy weights to different geographic zones within the airport environment. It identifies high-ambiguity areas (crowded terminals, overlapping roadways) and applies corrected location validation for devices in these zones. This local quality adjustment maintains accurate device identification even when provider device supply is increased in congested areas.
Solution Approach 2:
The system employs feedback mechanisms that continuously monitor location identification success rates and device matching outcomes. When location ambiguity is detected in crowded areas, the system adjusts location tolerance thresholds and requests additional verification data. This feedback loop maintains accurate device identification despite increased device density by dynamically adapting location validation criteria.
Data Source
AI summary
This disclosure describes an airport priority matching system that can utilize computer implemented models to dynamically match provider devices and priority requester devices in response to time priority airport transportation requests. In particular, in one or more embodiments the airport priority matching system identifies, utilizing global positioning data, provider devices within an airport boundary region and determines time metrics relative to an airport pickup location and/or a ranking order corresponding to an airport provider device tiered staging location. Moreover, prior to receiving a time priority airport transportation request, the airport priority matching system reserves a set of provider devices for airport time priority services based on the plurality of time metrics and/or the ranking order. Further, in response to receiving the time priority airport transportation request, the airport priority matching system selects a provider device from a pool of available provider devices to match to a priority requester device.