Frequentis has been granted a patent for a method that optimizes the arrival times of aircraft pairs entering a predefined airspace. The method involves calculating target arrival times at merging waypoints while considering entry times, target times, and minimum time-based separations, using an optimization model. GlobalData’s report on Frequentis gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Frequentis, Drone swarm control was a key innovation area identified from patents. Frequentis's grant share as of June 2024 was 67%. Grant share is based on the ratio of number of grants to total number of patents.
Method for optimizing aircraft arrival times in airspace
The patent US11990047B2 outlines a method for optimizing the approach of at least two aircraft entering a predefined airspace and merging at a common waypoint. The method involves receiving estimated entry times and target arrival times for each aircraft, along with routing information that includes dedicated waypoints. An optimization model is employed to determine target arrival times at these waypoints, ensuring that delays are shared between the aircraft while maintaining a desired minimum time-based separation. The optimization model also considers various constraints, such as maximizing separation between aircraft pairs, minimizing holding procedure durations, and balancing multiple optimization goals through a cost function.
Additionally, the patent describes the potential for the common merging waypoint to be a destination airport and includes provisions for recalculating target arrival times as necessary. The optimization model takes into account factors such as maximum and minimum flight durations, aircraft speed variations, and data from a base of aircraft data (BADA). The method can be implemented through a processing unit or a computer program, facilitating the efficient management of aircraft streams in busy airspaces.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
