AGGREGATED PERFORMANCE INDICATOR STATISTICS FOR MANAGING FLEET PERFORMANCE
First Claim
Patent Images
1. A method for managing a fleet of vehicles, the method comprising:
- receiving from a plurality of vehicles associated with the fleet, via executable instructions stored in a memory and executed by a processor, respective location information and sensor data;
determining, via the executable instructions, at least one performance indicator for the plurality of vehicles;
calculating, via the executable instructions, a set of statistics for the at least one performance indicator;
storing, via the executable instructions, the set of statistics;
aggregating, via the executable instructions, the set of statistics; and
generating, via the executable instructions, a report, the report including the aggregated statistics and at least one of a goal and an industry average, so as to illustrate at least one of progress toward the goal, efficacy of training, and an optimal asset allocation.
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Abstract
Systems, methods, and media for managing fleet performance with aggregated performance indicator statistics are provided herein. Mobile assets may provide sensor data to a data center. The data center may determine performance indicators based at least in part on the sensor data. The data center may calculate statistics based at least in part on the performance indicators. The data center may aggregate the calculated statistics.
24 Citations
33 Claims
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1. A method for managing a fleet of vehicles, the method comprising:
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receiving from a plurality of vehicles associated with the fleet, via executable instructions stored in a memory and executed by a processor, respective location information and sensor data; determining, via the executable instructions, at least one performance indicator for the plurality of vehicles; calculating, via the executable instructions, a set of statistics for the at least one performance indicator; storing, via the executable instructions, the set of statistics; aggregating, via the executable instructions, the set of statistics; and generating, via the executable instructions, a report, the report including the aggregated statistics and at least one of a goal and an industry average, so as to illustrate at least one of progress toward the goal, efficacy of training, and an optimal asset allocation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 9, 13, 28, 29)
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8. (canceled)
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10. -12. (canceled)
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14. A system for managing a fleet of vehicles, the system comprising:
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a processor; and a memory communicatively coupled with the processor, the memory storing executable instructions which when executed by the processor perform a method comprising; receiving, from a plurality of vehicles associated with the fleet of vehicles, respective location information and sensor data; determining at least one performance indicator for the plurality of vehicles; calculating a set of statistics for the at least one performance indicator; storing the set of statistics; aggregating the set of statistics; and generating a report, the report including the aggregated statistics and at least one of a goal and an industry average, so as to illustrate at least one of progress toward the goal, efficacy of training, and an optimal asset allocation. - View Dependent Claims (15, 16, 17, 18, 19, 20, 22, 30, 31)
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21. (canceled)
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23. -26. (canceled)
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27. A computer-readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method for managing a fleet of vehicles, the method comprising:
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receiving, from a plurality of vehicles associated with the fleet, respective location information and sensor data; determining at least one performance indicator for the plurality of vehicles; calculating a first set of statistics for the at least one performance indicator; storing the set of statistics; aggregating the set of statistics; and generating a report, the report including the aggregated statistics and at least one of a goal and an industry average, so as to illustrate at least one of progress toward the goal, efficacy of training, and an optimal asset allocation. - View Dependent Claims (32, 33)
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Specification