Network computer system to evaluate an operator of a freight vehicle

• US 10,293,832 B2
• Filed: 11/06/2017
• Issued: 05/21/2019
• 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:
  US15/804,829
• Publication Number:
  US 20190118825A1
• Time in Patent Office: 561 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 network computer system comprising:

one or more processors;

a set of memory resources to store a set of instructions;

wherein the set of instructions when executed by the one or more processors, cause the one or more processors to;

communicate, over a network, with a mobile device of an operator to cause the mobile device to transmit interval data to the network computer system during a time interval in which a freight vehicle is operated by the operator between a start location and a destination location, wherein the interval data includes (i) location data generated by the mobile device, (ii) vehicle operation data of the freight vehicle while the freight vehicle is in operation, and (iii) sensor data generated by one or more sensors of the mobile device;

determine, by the network computer system based on the interval data, a metric for the operator by (i) determining a sub-interval of time during which the operator is not operating the freight vehicle and (ii) analyzing at least the sensor data generated by the one or more sensors of the mobile device to determine a non-operating activity of the operator during the interval; and

update account data associated with the operator based at least in part on the determined metric for the operator.

2. The network computer system of claim 1, wherein the set of instructions, when executed by the one or more processors cause the network computer system to:

determine, based on the interval data, a time remaining for the operator to operate the freight vehicle before reaching a service time restriction; and

select a load for the operator based at least in part on the determined time remaining.

3. The network computer system of claim 1, wherein the set of instructions, when executed by the one or more processors, cause the network computer system to:

determine that an amount of time in which the operator continuously operates the freight vehicle exceeds a predetermined service time restriction; and

provide an instruction to the mobile device that programmatically restricts the operator from selecting a load.

4. The network computer system of claim 1, wherein the metric is indicative of a measure of a conformance of the operator to a predetermined standard as to how the freight vehicle is to be operated.

5. The network computer system of claim 1, wherein the set of instructions, when executed by the one or more processors, cause the network computer system to determine the metric by utilizing a model that accounts for a load weight and a size or type of the freight vehicle.

6. The network computer system of claim 1, wherein the metric includes at least one of a safety score or a performance score.

7. The network computer system of claim 6, wherein the set of instructions, when executed by the one or more processors, cause the network computer system to determine (i) a set of motion parameters using the sensor data, and (ii) determine the metric based on the determined set of motion parameters.

8. The network computer system of claim 7, wherein the executed instructions, when executed by the one or more processors, cause the network computer system to determine at least one of the set of motion parameters by detecting, using the sensor data, a directional change of the freight vehicle.

9. The network computer system of claim 1, wherein set of instructions, when executed by the one or more processors, cause the network computer system to determine the metric based, at least in part, on a fuel efficiency of the freight vehicle during the time interval.

10. The network computer system of claim 1, wherein the set of instructions, when executed by the one or more processors, cause the network computer system to evaluate the operator for timeliness based on the determined non-operating activity of the operator.

11. The network computer system of claim 1, wherein the set of instructions, when executed by the one or more processors, cause the network computer system to evaluate the operator for an adherence to a restriction that limits the operator as to a service time in which the operator is permitted to continuously operate the freight vehicle.

12. The network computer system of claim 1, wherein the set of instructions, when executed by the one or more processors, cause the network computer system to utilize the sensor data while the freight vehicle is idling.

13. The network computer system of claim 1, wherein the set of instructions, when executed by the one or more processors, cause the network system to determine the sub-interval during which the operator is not operating the freight vehicle by correlating the sensor data to a non-operating activity of the operator loading the freight vehicle.

14. The network computer system of claim 1, wherein the set of instructions, when executed by the one or more processors, cause the network computer system to cause the mobile device to transmit interval data that includes the vehicle operation data by causing the mobile device to connect to an electronic logging device of the freight vehicle.

15. The network computer system of claim 1, wherein the set of instructions, when executed by the one or more processors, cause the network system to:

identify a freight vehicle identifier being used by the operator during the time interval; and

associate the freight vehicle identifier with an operator account until the freight vehicle reaches the destination location.

16. The network computer system of claim 1, wherein the vehicle operation data includes information corresponding to an engine of the freight vehicle being idle.

17. The network computer system of claim 1, wherein the operator operates multiple freight vehicles during the time interval.

18. A method implemented by a network computer system, the method comprising:

communicating, over a network, with a mobile device of an operator to cause the mobile device to transmit interval data to the network computer system during a time interval in which a freight vehicle is operated by the operator between a start location and a destination location, wherein the interval data includes (i) location data generated by the mobile device, (ii) vehicle operation data of the freight vehicle while the freight vehicle is in operation, and (iii) sensor data generated by one or more sensors of the mobile device;

determining, by the network computer system based on the interval data, a metric for the operator by (i) determining a sub-interval of time during which the operator is not operating the freight vehicle and (ii) analyzing at least the sensor data generated by the one or more sensors of the mobile device to determine a non-operating activity of the operator during the interval; and

updating account data associated with the operator based at least in part on the determined metric for the operator.

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

communicate, over a network, with a mobile device of an operator to cause the mobile device to transmit interval data to the network computer system during a time interval in which a freight vehicle is operated by the operator between a start location and a destination location, wherein the interval data includes (i) location data generated by the mobile device, (ii) vehicle operation data of the freight vehicle while the freight vehicle is in operation, and (iii) sensor data generated by one or more sensors of the mobile device;

determine, by the network computer system based on the interval data, a metric for the operator by (i) determining a sub-interval of time during which the operator is not operating the freight vehicle and (ii) analyzing at least the sensor data generated by the one or more sensors of the mobile device to determine a non-operating activity of the operator during the interval; and

update account data associated with the operator based at least in part on the determined metric for the operator.