Telematics Operator Profiles Using Tiered Inference Sharing

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Solution Overview

Problem

Conventional telematics data collection is limited to party-specific devices, requiring customers to install multiple devices for different parties, lacking universality in data sharing and management.

Innovation Solution

A telematics marketplace system that collects and manages universal telematics inferences using a unified predictive model, generating and updating operator profiles based on personal and sensor data, and making these profiles accessible to multiple participants while hiding model weights and biases.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If party-specific devices are used for telematics data collection, then each party can collect data for its own use, but customers must install multiple devices for different parties, reducing universality

Engineering Contradiction:
Improveuniversality of data sharingVSAvoidnumber of devices to install
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a universal telematics data collection system where a single device installed by the customer can serve multiple parties. The system allows one device to collect and share telematics data across multiple platforms, eliminating the need for customers to install separate party-specific devices for each service provider.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces a data sharing platform that acts as an intermediary between the telematics device and multiple parties. This intermediary system enables seamless data exchange between the single device and various service providers, facilitating universal data access without requiring multiple direct connections.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If telematics data is shared across multiple parties, then data utilization efficiency improves, but proprietary model details may be exposed

Engineering Contradiction:
Improvedata utilization efficiencyVSAvoidproprietary model details
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The patent segments telematics data into different inference tiers, separating raw data from processed insights. This segmentation allows parties to access only the level of data they are entitled to, with higher-level inferences remaining protected while lower-level data can be shared for improved utilization efficiency.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies different access rights and data quality levels to different parties based on their needs and agreements. Each party receives data with appropriate quality and detail levels tailored to their specific use case, allowing efficient utilization while protecting proprietary information through differentiated data delivery.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS20250307857A1Systems and methods for managing vehicle operator profiles based on tiers of telematics inferences via a telematics marketplace
Publication Date: 2025.10.02 QUANATA LLC
  • US20250307857A1 patent drawing
  • US20250307857A1 patent drawing
  • US20250307857A1 patent drawing

AI summary

A computer-implemented including: collecting personal data sets associated with vehicle operators associated with marketplace participants; collecting telematics data sets for the vehicle operators via a software development kit (SDK) commonly installed on devices comprising multiple of: (1) mobile devices of the vehicle operators, (2) third-party applications installed on the mobile devices, or (3) on-board computers of vehicles of the vehicle operators; producing, by the SDK, a telematics data set of the telematics data sets in a standardized format; determining and updating one or more telematics inferences in the standardized format based at least on the telematics data set in the standardized format by using one or more universal predictive models; generating and updating an operator profile comprising a personal data set of the personal data sets associated with the vehicle operator; generating and updating a data profile associated with the vehicle operator; assigning and updating an operator tier selected from operator tiers based at least on the one or more telematics inferences; listing and updating the data profile onto a telematics marketplace according to the operator tier to be accessible by the marketplace participants; receiving, from a requesting party of the marketplace participants, an information request for one or more operator profiles associated with a number of vehicle operators of a target operator tier selected from the operator tiers; and transmitting, in response to the information request, the one or more operator profiles to the requesting party. Other embodiments are described.