Electronic logs with compliance support and prediction

• US 10,423,886 B2
• Filed: 12/29/2017
• Issued: 09/24/2019
• Est. Priority Date: 12/29/2017
• Status: Active Grant

• Current Assignee: Forward Thinking Systems LLC
• Original Assignee: Forward Thinking Systems LLC
• Inventors: Isler, David, Lowenstein, Stuart
• Primary Examiner(s): Wong, Lut
• Application Number:
  US15/859,205
• Publication Number:
  US 20190205781A1
• Time in Patent Office: 634 Days
• Field of Search: 706 45
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G06Q 10/047 Optimisation of routes or paths, e.g. travelling salesman problem
• CPC Class Codes: G06Q 10/063114 Status monitoring or status determination for a person or group
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/02 Registering or indicating driving, working, idle, or waiting time only apparatus forming part of taximeters G07B13/00
• 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

Abstract

A method for electronic logging of carrier data is described. The method includes monitoring a vehicle motion status for a predetermined period and assigning a logical state to at least one duty status variable. A plurality of travel conditions capable of changing a transit period, such as weather, traffic, and construction are monitored, aggregated, and used to determine a predicted likelihood of changing the transit period. The likelihood of occurrence of a compliance rule violation is determined, based on the aggregated values, the predicted likelihood of changing the transit period, and a group of compliance rules. An indicator of the likelihood of occurrence of a compliance rule violation may be generated, and presented to any number of electronic devices. Remedial actions to avoid or mitigate the compliance rule violation may be suggested.

Claims

1. A method for electronic logging of carrier data, the method comprising:

monitoring a vehicle motion status for a predetermined time period and assigning a logical state to at least one duty status variable;

monitoring at least one current vehicle service event capable of changing a transit time period;

determining, based on processing the at least one current vehicle service event, a predicted likelihood that the transit time period will change;

aggregating values for each of the at least one duty status variable over a specified quantity of the predetermined time period, the specified quantity being determined by a predetermined rule;

predicting a likelihood of occurrence of a potential impending compliance rule violation based at least in part on;

the aggregated values,

the predicted likelihood that the transit time period will change, and

a group of compliance rules;

determining that the predicted likelihood of occurrence of the potential impending compliance rule violation is greater than a predetermined threshold value; and

generating, if the predicted likelihood of occurrence of the potential impending compliance rule violation is greater than the predetermined threshold value, an indicator of the predicted likelihood of occurrence of the potential impending compliance rule violation, and presenting the indicator of the predicted likelihood of occurrence of the potential impending compliance rule violation to at least one electronic device to facilitate preventing the potential impending compliance rule violation.

2. The method of claim 1, wherein the at least one vehicle service event comprises a rerouting of a service path, an unscheduled vehicle operator change, an unscheduled delay in service, and an interruption of service.

3. The method of claim 1, wherein the predicted likelihood that the transit time period will change is based on a mean recorded transit time period for a plurality of previously recorded vehicle service events.

4. The method of claim 3, further comprising continually updating the recorded vehicle service events.

5. The method of claim 1, further comprising generating a suggested vehicular action, wherein performance of the suggested vehicular action is predicted to prevent the potential impending compliance rule violation.

6. The method of claim 5, wherein the suggested vehicular action comprises at least one of:

alternating vehicle operators, rerouting a vehicular path, stopping the vehicle at a designated location, and altering speed, direction, or vector of the vehicle.

7. The method of claim 1, wherein the duty status variable comprises on-duty, off-duty, sleeper, and driving, each duty status variable exhibiting one of two binary states for a predetermined period.

8. A system for electronic logging of carrier data, the system comprising:

a processor; and

a memory communicatively coupled with the processor, the memory storing instructions, the instructions executable by the processor to;

monitor a vehicle motion status for a predetermined time period and assign a logical state to at least one duty status variable;

monitor at least one current vehicle service event capable of changing a transit time period;

determine, based on processing the at least one current vehicle service event, a predicted likelihood that the transit time period will change;

aggregate values for each of the at least one duty status variable over a specified quantity of the predetermined time period, the specified quantity being determined by a predetermined rule;

predict a likelihood of occurrence of a potential impending compliance rule violation based at least in part on;

the aggregated values,

the predicted likelihood that the transit time period will change, and

a group of compliance rules;

determine that the predicted likelihood of occurrence of the potential impending compliance rule violation is greater than a predetermined threshold value; and

generate, if the predicted likelihood of occurrence of the potential impending compliance rule violation is greater than the predetermined threshold value, an indicator of the predicted likelihood of occurrence of the potential impending compliance rule violation, and present the indicator of the predicted likelihood of occurrence of the potential impending compliance rule violation to at least one electronic device to facilitate preventing the potential impending compliance rule violation.

9. The system of claim 8, wherein the at least one vehicle service event comprises a rerouting of a service path, an unscheduled vehicle operator change, an unscheduled delay in service, and an interruption of service.

10. The system of claim 8, wherein the predicted likelihood that the transit time period will change is based on a mean recorded transit time period for a plurality of previously recorded vehicle service events.

11. The system of claim 10, further comprising a method of continually updating the recorded vehicle service events.

12. The system of claim 8, further comprising a method of generating a suggested vehicular action, wherein performance of the suggested vehicular action is predicted to prevent the potential impending compliance rule violation.

13. The system of claim 12, wherein the suggested vehicular action comprises at least one of:

alternating vehicle operators, rerouting a vehicular path, stopping the vehicle at a designated location, and altering speed, direction, or vector of the vehicle.

14. The system of claim 8, wherein the duty status variable comprises on-duty, off-duty, sleeper, and driving, each duty status variable exhibiting one of two binary states for a predetermined time period.

15. A non-transitory computer-readable storage medium having embodied thereon instructions, which, when executed by at least one processor, perform steps of a method, the method comprising:

monitoring a vehicle motion status for a predetermined time period and assigning a logical state to at least one duty status variable;

monitoring at least one current vehicle service event capable of changing a transit time period;

determining, based on processing the at least one current vehicle service event, a predicted likelihood that the transit time period will change;

aggregating values for each of the at least one duty status variable over a specified quantity of the predetermined time period, the specified quantity being determined by a predetermined rule;

predicting a likelihood of occurrence of a potential impending compliance rule violation based at least in part on;

the aggregated values,

the predicted likelihood that the transit time period will change, and

a group of compliance rules;

determining that the predicted likelihood of occurrence of the potential impending compliance rule violation is greater than a predetermined threshold value; and

generating, if the predicted likelihood of occurrence of the potential impending compliance rule violation is greater than the predetermined threshold value, an indicator of the predicted likelihood of occurrence of the potential impending compliance rule violation, and presenting the indicator of the predicted likelihood of occurrence of the potential impending compliance rule violation to at least one electronic device to facilitate preventing the potential impending compliance rule violation.

16. The non-transitory computer-readable storage medium of claim 15, wherein the at least one vehicle service event comprises a rerouting of a service path, an unscheduled vehicle operator change, an unscheduled delay in service, and an interruption of service.

17. The non-transitory computer-readable storage medium of claim 15, wherein the predicted likelihood that the transit time period will change is based on a mean recorded transit time period for a plurality of previously recorded vehicle service events.

18. The non-transitory computer-readable storage medium of claim 17, further comprising a method of continually updating the recorded vehicle service events.

19. The non-transitory computer-readable storage medium of claim 15, further comprising a method of generating a suggested vehicular action, wherein performance of the suggested vehicular action is predicted to prevent the potential impending compliance rule violation.

20. The non-transitory computer-readable storage medium of claim 19, wherein the suggested vehicular action comprises alternating vehicle operators, rerouting a vehicular path, stopping the vehicle at a designated location, and altering speed, direction, or vector of the vehicle.

21. The non-transitory computer-readable storage medium of claim 15, wherein the duty status variable comprises on-duty, off-duty, sleeper, and driving, each duty status variable exhibiting one of two binary states for a predetermined period.