Network computer system to evaluate an operator of a freight vehicle

• US 10,657,813 B2
• Filed: 04/10/2019
• Issued: 05/19/2020
• Est. Priority Date: 10/25/2017
• Status: Active Grant

• Current Assignee: Uber Technologies, Inc.
• Original Assignee: Uber Technologies, Inc.
• Inventors: Madrigal, Luis, Lasker, Eyal, Guo, Xiao, Pyapali, Padmini, Zhang, Tony Ran
• Primary Examiner(s): Ghulamali, Qutbuddin
• Application Number:
  US16/380,580
• Publication Number:
  US 20190232967A1
• Time in Patent Office: 405 Days
• Field of Search: 340439
• CPC Class Codes: B60W 2040/0818 Inactivity or incapacity of driver
• CPC Class Codes: B60W 2556/45 External transmission of data to or from the vehicle
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/06398 Performance of employee with respect to a job function
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/08 Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
• CPC Class Codes: G07C 5/0841 Registering performance data recording measured values G01D; information storage G11B
• CPC Class Codes: G08G 1/123 indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, tramstransmission of navigation instructions to vehicles G08G1/0968
• CPC Class Codes: G08G 1/127 to a central station ; Indicators in a central station
• CPC Class Codes: G08G 1/148 Management of a network of parking areas
• CPC Class Codes: G08G 1/20 Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
• CPC Class Codes: G08G 1/202 Dispatching vehicles on the basis of a location, e.g. taxi dispatching
• CPC Class Codes: H04W 4/40 for vehicles, e.g. vehicle-to-pedestrians [V2P]
• CPC Class Codes: H04W 4/46 for vehicle-to-vehicle communication [V2V]

Abstract

A network computer system can associate an operator with a mobile device. Additionally, the network computer system can monitor the operator using the mobile device over a time interval that a freight vehicle is operated between a start location and a destination location. During the time interval, the network computer system can control the mobile device in transmitting interval data. Additionally, based on the interval data, the network computer system can evaluate the operator over the time interval using the interval data. The evaluation of the operator can include using the mobile device information to evaluate the operator over the one or more sub-intervals.

Claims

1. A computer system comprising:

processing and memory resources to implement logic, including logic to;

during a time interval a freight operator is fulfilling an assigned freight service request, obtain interval data including (i) location data generated by a location-detection component of a mobile computing device operated by the freight operator, and (ii) sensor data generated by one or more sensors of the mobile computing device;

determine, by using the obtained sensor data generated by the one or more sensors of the mobile computing device, (i) one or more instances the freight operator has left a freight vehicle during the time interval, and (ii) a non-operating activity of the freight operator that is associated with the one or more instances; and

update account data associated with the freight operator based at least in part on the determined non-operating activity.

2. The computer system of claim 1, wherein the logic implemented by the processing and memory resources include logic to:

determine a metric for the freight operator based on the determined non-operating activity; and

wherein the logic to update the account data uses the metric to update the account data.

3. The computer system of claim 1, wherein the logic to determine the non-operating activity of the freight operator is implemented on the mobile computing device.

4. The computer system of claim 3, wherein the obtained sensor data indicates an acceleration in a negative direction;

and

wherein the logic to determine the non-operating activity of the freight operator utilizes the sensor data indicating the acceleration in the negative direction.

5. The computer system of claim 3, wherein the interval data includes mobile device information indicating that the mobile computing device is disconnected from an electronic logging device of the freight vehicle.

6. The computer system of claim 5, wherein the logic to determine the non-operating activity of the freight operator utilizes the mobile device information that indicates the mobile computing device is disconnected from the electronic logging device.

7. The computer system of claim 1, wherein the logic to determine the non-operating activity of the freight operator determines when the non-operating activity of the freight operator corresponds to the freight operator picking-up a load.

8. The computer system of claim 1, wherein the logic to determine the non-operating activity of the freight operator determines when the non-operating activity of the freight operator corresponds to the freight operator dropping off a load.

9. The computer system of claim 1, wherein the logic to determine the non-operating activity of the freight operator determines when the non-operating activity of the freight operator corresponds to the freight operator taking a break.

10. The computer system of claim 1, wherein the interval data further includes vehicle operation information obtained from an electronic computing unit of the freight vehicle while the freight vehicle is in operation.

11. A method for operating a computer system comprising:

during a time interval a freight operator is fulfilling an assigned freight service request, obtaining interval data including (i) location data generated by a location-detection component of a mobile computing device operated by the freight operator, and (ii) sensor data generated by one or more sensors of the mobile computing device;

determining, by using the obtained sensor data generated by the one or more sensors of the mobile computing device, (i) one or more instances the freight operator has left a freight vehicle during the time interval, and (ii) a non-operating activity of the freight operator that is associated with the one or more instances; and

updating account data associated with the freight operator based at least in part on the determined non-operating activity.

12. The method of claim 11, further comprising:

determining a metric for the freight operator based on the determined non-operating activity; and

wherein updating the account data is based on the metric.

13. The method of claim 11, wherein the computer system is the mobile computing device.

14. The method of claim 13, wherein the obtained sensor data indicates an acceleration in a negative direction;

and

wherein determining the non-operating activity of the freight operator is based in part on the sensor data indicating the acceleration in the negative direction.

15. The method of claim 13, wherein the interval data includes mobile device information indicating that the mobile computing device is disconnected from an electronic logging device of the freight vehicle;

and

wherein determining the non-operating activity of the freight operator is based in part on the mobile device information that indicates the mobile computing device is disconnected from the electronic logging device.

16. The method of claim 11, wherein determining the non-operating activity of the freight operator includes determining when the non-operating activity of the freight operator corresponds to the freight operator picking-up a load.

17. The method of claim 11, wherein determining the non-operating activity of the freight operator includes determining when the non-operating activity of the freight operator corresponds to the freight operator dropping off a load.

18. The method of claim 11, wherein determining the non-operating activity of the freight operator includes determining when the non-operating activity of the freight operator corresponds to the freight operator taking a break.

19. The method of claim 11, wherein the interval data further includes vehicle operation information obtained from an electronic computing unit of the freight vehicle while the freight vehicle is in operation.

20. A non-transitory computer-readable medium storing instructions, that when executed by one or more processing resources of a computer system, cause the computer system to:

during a time interval a freight operator is fulfilling an assigned freight service request, obtain interval data including (i) location data generated by a location-detection component of a mobile computing device operated by the freight operator, and (ii) sensor data generated by one or more sensors of the mobile computing device;

determine, by using the obtained sensor data generated by the one or more sensors of the mobile computing device, (i) one or more instances the freight operator has left a freight vehicle during the time interval, and (ii) a non-operating activity of the freight operator that is associated with the one or more instances; and

update account data associated with the freight operator based at least in part on the determined non-operating activity.