Processing System Having A Machine Learning Engine For Providing A Common Trip Format (CTF) Output
First Claim
1. A computing platform comprising:
- at least one processor;
a communication interface communicatively coupled to the at least one processor; and
memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to;
establish a connection between the computing platform and a plurality of telematics sensors via the communication interface;
receive, from the plurality of telematics sensors and via the communication interface, telematics output data;
establish a connection between the computing platform and a plurality of third party sources via the communication interface;
receive, from the plurality of third party sources and via the communication interface, third party source data;
generate an enriched telematics output by combining the telematics output data and the third party source data;
validate the enriched telematics output based on one or more machine learning datasets;
determine a mode of ingestion for ingesting the validated enriched telematics output; and
generate a standardized common trip format (CTF) output based on the validated enriched telematics output and the determined mode of ingestion.
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Accused Products
Abstract
Aspects of the disclosure relate to enhanced telematics processing systems with improved third party source data integration features and enhanced customized driving output determinations. A computing platform may receive telematics data and third party source data. The computing platform may enrich the telematics data using the third party source data. After generating the enriched telematics data, the computing platform may use machine learning algorithms and datasets to validate the enriched telematics data. The computing platform may ingest, via a batch ingestion process, the enriched telematics data. For example, the computing platform may store the enriched telematics data and generate additional enriched telematics data until expiration of a predetermined period of time. The computing platform may ingest the enriched telematics data associated with each trip. Once the enriched telematics data has been ingested, the computing platform may generate a standardized common trip format output for each trip.
1 Citation
20 Claims
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1. A computing platform comprising:
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at least one processor; a communication interface communicatively coupled to the at least one processor; and memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to; establish a connection between the computing platform and a plurality of telematics sensors via the communication interface; receive, from the plurality of telematics sensors and via the communication interface, telematics output data; establish a connection between the computing platform and a plurality of third party sources via the communication interface; receive, from the plurality of third party sources and via the communication interface, third party source data; generate an enriched telematics output by combining the telematics output data and the third party source data; validate the enriched telematics output based on one or more machine learning datasets; determine a mode of ingestion for ingesting the validated enriched telematics output; and generate a standardized common trip format (CTF) output based on the validated enriched telematics output and the determined mode of ingestion. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computing platform comprising:
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at least one processor; a communication interface communicatively coupled to the at least one processor; and memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to; receive, from a telematics validation computing platform and via the communication interface, an enriched telematics output confirmation comprising an indication that an enriched telematics output has been validated; after the enriched telematics output has been validated, determine whether the enriched telematics output should be ingested in a streaming mode or a batch mode; in response to determining that the enriched telematics output should be ingested in the batch mode; determine that the enriched telematics output is associated with a first event; store, for a predetermined period of time, the enriched telematics output along with a machine learning dataset associated with the first event; and in response to an expiration of the predetermined period of time, generate, based on enriched telematics outputs stored along with the machine learning dataset associated with the first event, a standardized common trip format (CTF) output. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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18. A computing platform comprising:
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at least one processor; a communication interface communicatively coupled to the at least one processor; and memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to; receive, from a plurality of sensor devices and via the communication interface, telematics output data and third party source data; validate, via machine learning algorithms and analysis, the telematics output data; after validating the telematics output data, generate, based on the telematics output data and the third party source data, enhanced telematics output data; ingest, prior to standardizing the telematics output data, the enhanced telematics output data; ingest, for a predetermined period of time, additional enhanced telematics output data; and in response to an expiration of the predetermined period of time, determine, based on the enhanced telematics output data and the additional enhanced telematics output data, a standardized common trip format (CTF) output. - View Dependent Claims (19, 20)
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Specification