Invention Publication
- Patent Title: USING A PREDICTIVE REQUEST MODEL TO OPTIMIZE PROVIDER RESOURCES
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Application No.: US18396134Application Date: 2023-12-26
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Publication No.: US20240127697A1Publication Date: 2024-04-18
- Inventor: Saurabh Bajaj , Davide Crapis , Eran Davidov , Omar Khalid , Ehud Milo
- Applicant: Lyft, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Lyft, Inc.
- Current Assignee: Lyft, Inc.
- Current Assignee Address: US CA San Francisco
- Main IPC: G08G1/00
- IPC: G08G1/00 ; G01C21/34 ; G06Q50/40 ; G08G1/123 ; H04W4/30

Abstract:
The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system trains a predictive request model to generate a metric predicted to trigger an increase in transportation provider activity within the geographic area for a given time period. Furthermore, the system determines a predicted gap between expected request activity and expected transportation provider activity for the geographic area during a future time period, utilizes the predictive request model and the predicted gap to generate a metric for the geographic area, and generates an interactive map associated with a customized schedule for the geographic area and the future time period based on the generated metric.
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