Journey Learning System
First Claim
1. A method comprising:
- converting a set of driver history data to a set of learning parameters;
analyzing the set of learning parameters and current journey data to generate estimated journey data describing one or more potential journeys;
retrieving a set of current status data;
analyzing the estimated journey data and the set of current status data to determine one or more metrics associated with the estimated journey data;
determining one or more quality scores associated with the estimated journey data based at least in part on the one or more metrics;
determining one or more status summaries and one or more estimate summaries;
associating the one or more status summaries and the one or more estimate summaries with the estimated journey data;
outputting display data for depicting the estimated journey data, the one or more status summaries and the one or more estimate summaries on a display; and
storing the current journey data as additional driver history data.
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Accused Products
Abstract
A system and method for estimating journey destinations is disclosed. The system comprises a conversion module, a frequency module, a metric module, a quality module and a summary module. The conversion module converts a set of driver history data to a set of learning parameters. The frequency module analyzes the set of learning parameters and current journey data to generate estimated journey data describing one or more potential journeys. The metric module analyzes the estimated journey data and the set of current status data to determine one or more metrics associated with the estimated journey data. The quality module determines one or more quality scores associated with the estimated journey data. The summary module determines one or more status summaries and one or more estimate summaries. The summary module associates the one or more status summaries and the one or more estimate summaries with the estimated journey data.
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Citations
27 Claims
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1. A method comprising:
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converting a set of driver history data to a set of learning parameters; analyzing the set of learning parameters and current journey data to generate estimated journey data describing one or more potential journeys; retrieving a set of current status data; analyzing the estimated journey data and the set of current status data to determine one or more metrics associated with the estimated journey data; determining one or more quality scores associated with the estimated journey data based at least in part on the one or more metrics; determining one or more status summaries and one or more estimate summaries; associating the one or more status summaries and the one or more estimate summaries with the estimated journey data; outputting display data for depicting the estimated journey data, the one or more status summaries and the one or more estimate summaries on a display; and storing the current journey data as additional driver history data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer program product comprising a non-transitory computer readable medium encoding instructions that, in response to execution by a computing device, cause the computing device to perform operations comprising:
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converting a set of driver history data to a set of learning parameters; analyzing the set of learning parameters and current journey data to generate estimated journey data describing one or more potential journeys; retrieving a set of current status data; analyzing the estimated journey data and the set of current status data to determine one or more metrics associated with the estimated journey data; determining one or more quality scores associated with the estimated journey data based at least in part on the one or more metrics; determining one or more status summaries and one or more estimate summaries; associating the one or more status summaries and the one or more estimate summaries with the estimated journey data; outputting display data for depicting the estimated journey data, the one or more status summaries and the one or more estimate summaries on a display; and storing the current journey data as additional driver history data. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A system comprising:
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a conversion module converting a set of driver history data to a set of learning parameters; a frequency module communicatively coupled to the conversion module, the frequency module analyzing the set of learning parameters and current journey data to generate estimated journey data describing one or more potential journeys, the frequency module storing the current journey data as additional driver history data; a metric module communicatively coupled to the frequency module, the metric module retrieving a set of current status data, the metric module analyzing the estimated journey data and the set of current status data to determine one or more metrics associated with the estimated journey data; a quality module communicatively coupled to the metric module, the quality module determining one or more quality scores associated with the estimated journey data based at least in part on the one or more metrics; a summary module communicatively coupled to the quality module and the frequency module, the summary module determining one or more status summaries and one or more estimate summaries, the summary module associating the one or more status summaries and the one or more estimate summaries with the estimated journey data; and an output module communicatively coupled to the frequency module, the quality module and the summary module, the output module outputting display data for depicting the estimated journey data, the one or more status summaries and the one or more estimate summaries on a display. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27)
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Specification