Fleet management user interface

Patent metadata

Field	Value
Publication number	US-12066835-B2
Application number	US-201916716427-A
Country	US
Kind code	B2
Filing date	Dec 16, 2019
Priority date	Dec 16, 2019
Publication date	Aug 20, 2024
Grant date	Aug 20, 2024

Abstract

Techniques are disclosed for fleet vehicle management. According to various embodiments, a status is determined for each fleet vehicle of a plurality of fleet vehicles. Based on the status, a service task is determined for at least a subset of the plurality of fleet vehicles. A location is determined for each service task. A service task list is generated based on the service tasks and the locations of the service tasks. A user to perform the service task list is determined based on the service tasks and the service task locations. The service task is communicated to the user and progress of the service task list is monitored.

First claim

What is claimed is:

1. A method for managing servicing of a plurality of fleet vehicles comprising:
determining, based on sensor data from each of the plurality of fleet vehicles, a status for each of the plurality of fleet vehicles;
determining, based on the status, service tasks for at least a subset of the plurality of fleet vehicles;
determining a location for each of the service tasks;
determining a time budget allotted to complete each of the service tasks;
generating a service task list based, at least in part, on the service tasks, the locations, and the time budgets, wherein the service tasks in the service task list are ordered based, at least in part, on the locations and the time budgets;
determining a user to perform the service task list based, at least in part, on the service tasks, the locations, and a user profile associated with the user, wherein the user profile includes a user specialty associated with performing a type of fleet vehicle service;
sending wireless instructions to display the service task list on a computing device associated with the user;
receiving a user input from the computing device, wherein the user input indicates a selection by the user of the service tasks in the service task list; and
monitoring a progress of the selected service tasks in the service task list.

2. The method of claim 1 , further comprising:
determining a location of the computing device, wherein the generating the service task list is further based on the location of the computing device.

3. The method of claim 1 , further comprising:
receiving from the computing device a partial acceptance of the service task list, wherein the partial acceptance is an acceptance of less than all of a total number of service tasks in the service task list; and
updating the service task list based on the partial acceptance of the service task list.

4. The method of claim 1 , wherein the monitoring the progress of the selected service tasks in the service task list comprises:
receiving a status update for each fleet vehicle of the subset of the plurality of fleet vehicles; and
updating the progress based, at least in part, on the status updates.

5. The method of claim 1 , wherein the location corresponds to a location of a fleet vehicle, and wherein the service task comprises one or more of a type of fleet vehicle, the type of fleet vehicle service, and a fleet vehicle identifier.

6. The method of claim 1 , wherein the type of fleet vehicle service comprises one or more of a fleet vehicle inspection, a fleet vehicle battery replacement, a fleet vehicle retrieval, a fleet vehicle relocation, or a fleet vehicle delivery.

7. The method of claim 1 , wherein the service task list comprises a task map indicating the location of each service task in the service task list, and wherein each location is marked by a task status icon in the task map.

8. The method of claim 7 , wherein the task map includes a task route indicator comprising at least one route leg configured to indicate a route between adjacent service tasks of the service task list.

9. The method of claim 1 , wherein the time budget is determined based on one or more of a target time to complete the service task, a historic time recorded for the service task, or an estimated time until the location for the service task is reached.

10. The method of claim 1 , wherein the service tasks in the service task list are ordered such that the service tasks with shorter time budgets are prioritized.

11. The method of claim 1 , wherein the service tasks in the service task list are ordered such that a distance between adjacent service tasks in the service task list is minimized.

12. The method of claim 1 , wherein the progress of the selected service tasks in the service task list is monitored based on received status updates from (a) one or more of the subset of the plurality of fleet vehicles associated with the selected service tasks or (b) additional user inputs received from the computing device.

13. A method for servicing of a plurality of fleet vehicles comprising:
receiving a service task list comprising one or more service tasks, a location for each of the service tasks, and a time budget allotted to complete each of the service tasks, wherein an order of the service tasks in the service task list is arranged based, at least in part, on the locations and the time budgets;
displaying the service task list in a graphical user interface in a display screen of a user device associated with a user, wherein the user is determined based, at least in part, on a user profile associated with the user, and wherein the user profile includes a user specialty associated with performing a type of service of the task; and
receiving a user input from the user device, wherein the user input indicates a selection by the user of the service tasks in the service task list.

14. The method of claim 13 , further comprising:
determining a location of the user device; and
rearranging the order of service tasks in the service task list based, at least in part, on the location of the user device.

15. The method of claim 14 , further comprising:
generating a task map having a task route indicator, wherein the task route indicator comprises at least one route leg configured to indicate a navigational route between adjacent service tasks in the service task list; and
displaying the task map in the graphical user interface.

16. The method of claim 13 , wherein the displaying the service task list in the graphical user interface comprises displaying a graphical progress indicator that indicates a remaining number of incomplete service tasks of the service task list.

17. The method of claim 13 , wherein each service task comprises a type of fleet vehicle associated with the task, the type of service of the task, or a fleet vehicle identifier corresponding to a fleet vehicle associated with the task.

18. The method of claim 13 , wherein the type of service of the task comprises one or more of an inspection of the fleet vehicle, a battery replacement of the fleet vehicle, a retrieval of the fleet vehicle, a drop-off of the fleet vehicle, a replacement of the fleet vehicle, or no service currently needed for the fleet vehicle.

19. The method of claim 13 , further comprising:
receiving a status update for each fleet vehicle associated with one or more service tasks in the service task list; and
updating the service task list based on the status updates.

20. The method of claim 13 , wherein the service task list comprises a task status indicator corresponding to each service task in the service task list, and wherein the method further comprises updating the task status indicator as a corresponding service task is completed.

Assignees

• Lyft Inc

Inventors

• Zhao Emily
• Chen Linwe
• Viti Amalia Nicole
• Nelson Carl Richardson
• Hu Samuel
• Bromwich David Keith

Classifications

• G05D1/69

  Coordinated control of the position or course of two or more vehicles · CPC title

• G05D1/227

  Handing over between remote control and on-board control; Handing over between remote control arrangements · CPC title

• G08G1/202 Primary

  Dispatching vehicles on the basis of a location, e.g. taxi dispatching · CPC title

• G05D1/0088

  characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours (using knowledge based models G06N5/00) · CPC title

• G08G1/205

  Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental · CPC title