Patent Issued for Processing system having a machine learning engine for providing a common trip format (CTF) output (USPTO 11644327): Allstate Insurance Company
2023 MAY 26 (NewsRx) -- By a
The patent’s assignee for patent number 11644327 is
News editors obtained the following quote from the background information supplied by the inventors: “Aspects of the disclosure relate to enhanced telematics processing systems with improved third party source data integration features and enhanced customized driving output determinations. In particular, one or more aspects of the disclosure relate to telematics processing systems that utilize telematics data and third party source data associated with a driving trip to improve driving data compatibility and to facilitate customized driver output determinations.
“Because many organizations and individuals rely on telematics data as a method for determining customized driver outputs, enhancing the telematics data with third party source data is important. In many instances, however, it may be difficult to associate the third party source data with telematics data in a standardized format while also ensuring that accuracy of the customized driver output determinations is maintained.”
As a supplement to the background information on this patent, NewsRx correspondents also obtained the inventors’ summary information for this patent: “Aspects of the disclosure provide effective, efficient, scalable, and convenient technical solutions that address and overcome the technical problems associated with optimizing the performance of common trip format generation control computing platforms and customized driver output generation computing platforms, along with the information that such systems may maintain, using enhanced common trip format generation and customized driver output generation techniques.
“In accordance with one or more arrangements discussed herein, a computing platform having at least one processor, a communication interface, and memory may establish a connection between the computing platform and a plurality of telematics sensors via the communication interface. The computing platform may receive, from the plurality of telematics sensors and via the communication interface, telematics output data. The computing platform may establish a connection between the computing platform and a plurality of third party sources via the communication interface. In addition, the computing platform may receive, from the plurality of third party sources and via the communication interface, third party source data. The computing platform may generate an enriched telematics output by combining the telematics output data and the third party source data. In some examples, the computing platform may validate the enriched telematics output based on one or more machine learning datasets. The computing platform may determine a mode of ingestion for ingesting the validated enriched telematics output. The computing platform may generate a standardized common trip format (CTF) output based on the validated enriched telematics output and the determined mode of ingestion.
“In some arrangements, the computing platform may generate one or more commands directing a telematics output validation computing platform to validate the enriched telematics output. The computing platform may transmit, to the telematics output validation computing platform and via the communication interface, the one or more commands directing the telematics output validation computing platform to validate the enriched telematics output. The computing platform may receive, from the telematics output validation computing platform and via the communication interface, an enriched telematics output confirmation comprising an indication that the enriched telematics output has been validated.
“In some examples, the computing platform may validate the enriched telematics output by receiving the enriched telematics output confirmation.
“In some arrangements, the computing platform may determine, after the enriched telematics output has been validated, 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, the computing platform may determine that the enriched telematics output is associated with a first event. The computing platform may store, for a predetermined period of time, the enriched telematics output along with a machine learning dataset associated with the first event. In response to an expiration of the predetermined period of time, the computing platform may generate, based on enriched telematics outputs stored along with the machine learning dataset associated with the first event, the standardized CTF output.”
The claims supplied by the inventors are:
“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: 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.
“2. The computing platform of claim 1, wherein the standardized CTF output comprises a JavaScript Object Notation (JSON) spreadsheet output containing the enhanced telematics output data and the additional enhanced telematics output data.
“3. The computing platform of claim 1, wherein the memory further stores computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: send, to a customized driver output generation computing platform, the standardized CTF output; generate one or more commands directing the customized driver output generation computing platform to generate a customized driver output; and send, to the customized driver output generation computing platform, the one or more commands to generate the customized driver output.
“4. The computing platform of claim 1, wherein validating the telematics output data comprises: generating one or more commands directing a telematics output validation computing platform to validate the telematics output data; transmitting, to the telematics output validation computing platform and via the communication interface, the one or more commands directing the telematics output validation computing platform to validate the telematics output data; and receive, from the telematics output validation computing platform and via the communication interface, a telematics output confirmation comprising an indication that the telematics output data has been validated.
“5. The computing platform of claim 1, wherein the memory further stores computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: determine a mode of ingestion for ingesting the enhanced telematics output data, wherein determining the mode of ingestion comprises determining whether the enhanced telematics output data should be ingested in a streaming mode or a batch mode.
“6. The computing platform of claim 5, wherein the memory further stores computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: in response to determining that the enhanced telematics output data should be ingested in the batch mode: determine that the enhanced telematics output data is associated with a first event; and store, for the predetermined period of time, the enhanced telematics output data along with a machine learning dataset associated with the first event.
“7. The computing platform of claim 6, wherein the first event comprises one of a first driving trip or an initial occurrence of an event within the first driving trip.
“8. The computing platform of claim 1, wherein the memory further stores computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: send, via the communication interface and to a customized driver output generation computing platform, the standardized CTF output; and generate one or more commands directing the customized driver output generation computing platform to generate a customized driver output based on the standardized CTF output.
“9. The computing platform of claim 1, wherein the standardized CTF output includes a user identifier.
“10. The computing platform of claim 1, wherein the memory further stores computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: receive, from the plurality of sensor devices and via the communication interface, second telematics output data and third party source data; determine that the second telematics output data was not validated; and determine, based on determining that the second telematics output data was not validated, that the second telematics output data should not be enhanced.
“11. The computing platform of claim 1, wherein the memory further stores computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: determine that the enhanced telematics output data comprises high priority telematics output data; determine that another enriched telematics output data comprises low priority telematics output data; and process, prior to processing the another enriched telematics output data, the enhanced telematics output data.
“12. A method comprising: at a computing platform comprising at least one processor, a communication interface, and memory storing computer-readable instructions: receiving, from a plurality of sensor devices and via the communication interface, telematics output data and third party source data; validating, via machine learning algorithms and analysis, the telematics output data; after validating the telematics output data, generating, based on the telematics output data and the third party source data, enhanced telematics output data; determining a mode of ingestion for ingesting the enhanced telematics output data, wherein determining the mode of ingestion comprises determining whether the enhanced telematics output data should be ingested in a streaming mode or a batch mode; ingesting, prior to standardizing the telematics output data, the enhanced telematics output data; ingesting, for a predetermined period of time, additional enhanced telematics output data; and in response to an expiration of the predetermined period of time, determining, based on the enhanced telematics output data and the additional enhanced telematics output data, a standardized common trip format (CTF) output.
“13. The method of claim 12, wherein the standardized CTF output comprises a JavaScript Object Notation (JSON) spreadsheet output containing the enhanced telematics output data and the additional enhanced telematics output data.
“14. The method of claim 12, further comprising: sending, to a customized driver output generation computing platform, the standardized CTF output; generating one or more commands directing the customized driver output generation computing platform to generate a customized driver output; and sending, to the customized driver output generation computing platform, the one or more commands to generate the customized driver output.
“15. The method of claim 12, wherein validating the telematics output data comprises: generating one or more commands directing a telematics output validation computing platform to validate the telematics output data; transmitting, to the telematics output validation computing platform and via the communication interface, the one or more commands directing the telematics output validation computing platform to validate the telematics output data; and receive, from the telematics output validation computing platform and via the communication interface, a telematics output confirmation comprising an indication that the telematics output data has been validated.
“16. The method of claim 12, wherein the standardized CTF output includes a user identifier.
“17. The method of claim 12, further comprising: in response to determining that the enhanced telematics output data should be ingested in the batch mode: determining that the enhanced telematics output data is associated with a first event; and storing, for the predetermined period of time, the enhanced telematics output data along with a machine learning dataset associated with the first event.
“18. The method of claim 17, wherein the first event comprises one of a first driving trip or an initial occurrence of an event within the first driving trip.
“19. The method of claim 12, further comprising: sending, via the communication interface and to a customized driver output generation computing platform, the standardized CTF output; and generating one or more commands directing the customized driver output generation computing platform to generate a customized driver output based on the standardized CTF output.”
There are additional claims. Please visit full patent to read further.
For additional information on this patent, see: Chandrawanshi, Rahul. Processing system having a machine learning engine for providing a common trip format (CTF) output.
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