Lyft had nine patents in digitalization during Q1 2024. Lyft Inc’s patents filed in Q1 2024 focus on methods for optimizing transportation routes by modifying drop-off locations and correcting errors in route predictions. The methods involve transmitting navigational data to drivers, identifying drop-off areas, and generating route predictions based on previously-completed routes. These innovations aim to improve the efficiency and accuracy of transportation services provided by Lyft. GlobalData’s report on Lyft gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Lyft grant share with digitalization as a theme is 77% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Navigating drivers to dynamically selected drop-off locations for shared rides (Patent ID: US20240027207A1)
The patent filed by Lyft Inc. describes a method and system for optimizing shared rides by determining multiple digital transportation routes to a destination, generating shared ride probabilities for each route, selecting the optimal route based on these probabilities, and transmitting navigational data to the driver. The system also allows for the addition of shared ride requests falling within a deviation limit to create group rides, with modified routes generated accordingly.
Furthermore, the patent details the process of generating shared ride probabilities for specific digital transportation routes by identifying segments, calculating partial shared ride probabilities for each segment, and combining them based on predicted travel times. The system aims to enhance the efficiency of shared rides by dynamically adjusting routes to accommodate additional passengers within a specified deviation limit, ultimately improving the overall transportation experience for users and drivers alike.
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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.
