Lyft has filed a patent for an airport priority matching system that uses computer models to match provider devices and priority requester devices for time priority airport transportation requests. The system identifies provider devices within an airport boundary region, determines time metrics based on global positioning data, reserves a set of provider devices for airport time priority services, and selects a provider device from a pool of available devices to match with a priority requester device. GlobalData’s report on Lyft gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Lyft, Autonomous delivery vehicle navigation system was a key innovation area identified from patents. Lyft's grant share as of September 2023 was 54%. Grant share is based on the ratio of number of grants to total number of patents.

Airport priority matching system for time priority airport transportation

Source: United States Patent and Trademark Office (USPTO). Credit: Lyft Inc

A recently filed patent (Publication Number: US20230316159A1) describes a computer-implemented method for managing airport transportation services. The method involves identifying provider devices within an airport boundary region using global positioning data. Time metrics are then determined for these provider devices based on their location relative to the airport pickup location or a ranking order corresponding to a tiered staging location for airport provider devices.

Before receiving a time priority airport transportation request, a set of provider devices is reserved for airport time priority services based on the time metrics or ranking order. When a time priority request is received from a priority requester device, a provider device is selected from a pool of available provider devices, which includes the reserved set, to match with the priority requester device.

The method also includes additional features such as identifying subsets of provider devices at different staging locations, determining ranking orders based on arrival orders, reserving and releasing provider devices based on ranking orders and arrival orders, determining reserved times for provider devices, and releasing provider devices based on threshold reservation times.

The patent also describes a system that includes at least one processor and a non-transitory computer-readable storage medium with instructions for implementing the method. The system can dispatch provider devices to the airport pickup location based on preliminary matches with requester devices and reserve provider devices based on time metrics. It can also identify unavailable provider devices and reserve them based on time metrics, determine the number of provider devices to reserve using prediction models, and utilize hyperparameter models to select reservation parameters.

Additionally, the patent includes a non-transitory computer-readable storage medium with instructions for implementing the method. This medium can identify provider devices within the airport boundary region, determine time metrics or ranking orders, reserve provider devices, and select a provider device to match with a priority requester device.

Overall, this patent presents a computer-implemented method and system for efficiently managing airport transportation services by utilizing global positioning data, time metrics, and ranking orders to reserve and select provider devices for time priority requests.

To know more about GlobalData’s detailed insights on Lyft, buy the report here.

Premium Insights

From

The gold standard of business intelligence.

Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.

GlobalData

GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

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.