Fleet maintenance management for autonomous vehicles

US11587373B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11587373-B2
Application numberUS-202016938705-A
CountryUS
Kind codeB2
Filing dateJul 24, 2020
Priority dateDec 22, 2017
Publication dateFeb 21, 2023
Grant dateFeb 21, 2023

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

In particular embodiments, a computing system may determine a predicted amount of ride requests for a plurality of collectively-managed vehicles and determine an availability of the collectively-managed vehicles to satisfy the predicted amount of ride requests. Subsequent to determining that the availability fails to satisfy one or more predetermined criteria for servicing the predicted amount of ride requests, the system may determine status information associated with the collectively-managed vehicles and determine, based on at least the status information, one or more minimum services for servicing one or more vehicles among the plurality of collectively-managed vehicles at one or more service centers such that the availability satisfies the one or more predetermined criteria. The system may instruct the one or more vehicles that are to receive the one or more minimum services to travel to the one or more service centers to be serviced.

First claim

Opening claim text (preview).

What is claimed is: 1. A method comprising, by a computing system: determining a predicted amount of ride requests for a plurality of collectively-managed vehicles; determining an availability of the collectively-managed vehicles to satisfy the predicted amount of ride requests; subsequent to determining that the availability of the collectively-managed vehicles fails to satisfy one or more predetermined criteria for servicing the predicted amount of ride requests, determining status information associated with the collectively-managed vehicles; determining, based on at least the status information associated with the collectively-managed vehicles, one or more minimum services for servicing one or more vehicles among the plurality of collectively-managed vehicles at one or more service centers such that the availability of the collectively-managed vehicles satisfies the one or more predetermined criteria for servicing the predicted amount of ride requests; and instructing the one or more vehicles that are to receive the one or more minimum services to travel to the one or more service centers to be serviced. 2. The method of claim 1 , wherein determining the predicted amount of ride requests is based on one or more of: a future event comprising a known upcoming event likely to affect an amount of ride requests in a region in which the collectively-managed vehicles operate or a predicted upcoming event likely to affect the amount of ride requests in the region in which the collectively-managed vehicles operate; a current condition affecting traffic in the region in which the collectively-managed vehicles operate; historic data including a first amount of ride requests for vehicles in the region in which the collectively-managed vehicles operate and a second amount of vehicles available to fulfill the amount of ride requests in the region in which the collectively-managed vehicles operate; and a respective vehicle characteristic of one or more vehicles in the collectively-managed vehicles, the characteristic including at least one of a vehicle type, a vehicle class, or an optional vehicle feature. 3. The method of claim 1 , wherein, prior to determining the status information, the availability of the collectively-managed vehicles fails to satisfy a number of vehicles required to satisfy the amount of predicted ride requests, and the one or more vehicles that are to receive the one or more minimum services causes the availability of the collectively-managed vehicles to satisfy the number. 4. The method of claim 1 , further comprising: determining respective locations at which the one or more vehicles are to be positioned subsequent to receiving the one or more minimum services based on the predicted amount of ride requests; and instructing the one or more vehicles to travel to the determined locations. 5. The method of claim 1 , further comprising determining, based on the status information, an urgency ranking for services needed by one or more vehicles in the collectively-managed vehicles, wherein determining the one or more minimum services is further based on the urgency ranking. 6. The method of claim 1 , wherein the one or more predetermined criteria for servicing the predicted amount of ride requests is based on a condition of the plurality of collectively-managed vehicles. 7. The method of claim 1 , further comprising: receiving respective status information from at least one service center, the status information comprising a capability and availability of the at least one service center to perform particular services; determining the one or more service centers based on the respective status information received from the at least one service center; and matching, based on the determined one or more minimum services, the one or more vehicles that are to receive the one or more minimum services with the respective one or more service centers. 8. The method of claim 1 , further comprising: subsequent to determining that the availability of the collectively-managed vehicles satisfies the one or more predetermined criteria for servicing the predicted amount of ride requests, determining status information associated with the collectively-managed vehicles; determining, based on at least the status information associated with the collectively-managed vehicles, one or more vehicles in need of service among the plurality of collectively-managed vehicles; ranking the one or more vehicles in need of service based on their service needs; scheduling the one or more vehicles in need of service to receive service at one or more service centers during a period when the availability of the collectively-managed vehicles is expected to satisfy the predicted amount of ride requests; and instructing the one or more vehicles that are to receive service to travel to the one or more service centers to be serviced. 9. The method of claim 1 , wherein at least one of: the one or more vehicles are autonomous vehicles, and the instructions are transmitted to a communications device associated with the autonomous vehicles; or the one or more vehicles are human-driven vehicles, and the instructions are transmitted to a communications device associated with the human-driven vehicles. 10. A system comprising: one or more processors and one or more computer-readable non-transitory storage media coupled to one or more of the processors, the one or more computer-readable non-transitory storage media comprising instructions operable when executed by one or more of the processors to cause the system to perform operations comprising: determining a predicted amount of ride requests for a plurality of collectively-managed vehicles; determining an availability of the collectively-managed vehicles to satisfy the predicted amount of ride requests; subsequent to determining that the availability of the collectively-managed vehicles fails to satisfy one or more predetermined criteria for servicing the predicted amount of ride requests, determining status information associated with the collectively-managed vehicles; determining, based on at least the status information associated with the collectively-managed vehicles, one or more minimum services for servicing one or more vehicles among the plurality of collectively-managed vehicles at one or more service centers such that the availability of the collectively-managed vehicles satisfies the one or more predetermined criteria for servicing the predicted amount of ride requests; and causing instructions to be communicated to the one or more vehicles that are to receive the one or more minimum services to travel to the one or more service centers to be serviced. 11. The system of claim 10 , wherein determining the predicted amount of ride requests is based on one or more of: a future event comprising a known upcoming event likely to affect an amount of ride requests in a region in which the collectively-managed vehicles operate or a predicted upcoming event likely to affect the amount of ride requests in the region in which the collectively-managed vehicles operate; a current condition affecting traffic in the region in which the collectively-managed vehicles operate; historic data including a first amount of ride requests for vehicles in the region in which the collectively-managed vehicles operate and a second amount of vehicles available to fulfill the amount of ride requests in the region in which the collectively-managed vehicles operate; and a respective vehicle characteristic of one or more vehicles in the collectively-managed vehicles, the characteristic including at least one of a vehicle type, a vehicle class, or an optional vehicle feature.

Assignees

Inventors

Classifications

  • Operations research, analysis or management · CPC title

  • Administration of product repair or maintenance · CPC title

  • Inference or reasoning models · CPC title

  • Indicating maintenance · CPC title

  • G06Q10/02Primary

    Reservations, e.g. for tickets, services or events · CPC title

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Frequently asked questions

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What does patent US11587373B2 cover?
In particular embodiments, a computing system may determine a predicted amount of ride requests for a plurality of collectively-managed vehicles and determine an availability of the collectively-managed vehicles to satisfy the predicted amount of ride requests. Subsequent to determining that the availability fails to satisfy one or more predetermined criteria for servicing the predicted amount …
Who is the assignee on this patent?
Lyft Inc
What technology area does this patent fall under?
Primary CPC classification G06Q10/02. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 21 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).