Patent Application: Probabilistic Event Triggering Using Location Data

ChangeBridge: Patent Apps - Business Methods (G06Q)

Detected March 26th, 2026

Summary

The USPTO has published a patent application (US20260087445A1) from Radius Networks, Inc. for techniques related to probabilistic event triggering using location data. The application details methods for estimating arrival times and triggering actions based on location probability fields.

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What changed

This document is a published patent application, not a regulatory rule or enforcement action. It describes "Techniques for determining an estimated time of arrival at a pickup location" using location data from user devices. The application details a process involving receiving location data, determining proximity to a virtual boundary, generating a probability field, and triggering an action when a probability threshold is met.

As a patent application, it does not impose direct compliance obligations on regulated entities. However, it may inform future product development and intellectual property strategies for technology companies operating in location-based services, logistics, and mobile applications. Companies developing similar technologies should be aware of this application as it pertains to potential patent claims and prior art.

Source document (simplified)

← USPTO Patent Applications

PROBABILISTIC EVENT TRIGGERING USING LOCATION DATA

Application US20260087445A1 Kind: A1 Mar 26, 2026

Assignee

Radius Networks, Inc.

Inventors

Timothy Judkins, James Nebeker, Christopher Sexton, Kristoffer Zabala, Cora Leech, Aaron Hill

Abstract

Techniques for determining an estimated time of arrival at a pickup location are discussed herein. For example, techniques may include receiving first location data from a user computing device approaching a pickup location, receiving data indicating when the device entered a virtual boundary associated with the pickup location, determining a location of the device when it was a particular time period away from entering the virtual boundary, associating the location with a discretized location of a map, applying a blurring function to generate a probability field indicating probability of entering the virtual boundary within the time period, using the probability field to determine probability of arriving at the pickup location within the particular time period, and triggering an action based on the probability meeting a threshold.