Driver Profile Modeling Using Vehicle Alert Responsiveness

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Solution Overview

Problem

Existing vehicle telematics technologies fail to fully leverage various types of data to assess driver characteristics and provide benefits, such as insurance adjustments, credit ratings, and job opportunities, due to limited recognition of driving habits and behaviors beyond acceleration, braking, and cornering.

Innovation Solution

A computer-implemented method and system that generates and updates driver profiles using a wide range of telematics data, including software version updates, passenger presence, weather conditions, and demographic information, to provide a comprehensive assessment of driver responsibility and trustworthiness, which can be transmitted to third-party servers for various applications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If existing telematics technologies only collect basic driving data (acceleration, braking, cornering), then the system complexity remains low, but the driver assessment accuracy and comprehensiveness deteriorates

Engineering Contradiction:
Improvedriver assessment accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The telematics system is enhanced to perform multiple functions: collecting basic driving data (acceleration, braking, cornering), gathering driver behavior data (alert responsiveness, feature usage), obtaining vehicle data (software versions, diagnostic information), and integrating demographic information. This multi-functional approach allows comprehensive driver profiling without requiring separate systems for each data type.

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

Solution Approach 2:

The patent combines multiple data sources and types into a unified driver profile system. Telematics data, driver behavior data, vehicle data, and demographic information are merged and integrated to create a comprehensive assessment framework, allowing the system to leverage synergies between different data types for more accurate driver evaluation.

Inventive Principle:
Principle #5Merging (Combining)

2Loss of information

If comprehensive telematics data is collected (software updates, passenger presence, weather conditions), then the driver profile comprehensiveness improves, but the data processing complexity increases

Engineering Contradiction:
Improveinformation completenessVSAvoiddata processing complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The comprehensive data collection system is segmented into distinct modules: telematics data collection module, driver behavior data collection module, vehicle data collection module, and demographic information module. Each module handles specific types of data independently, then the segmented data streams are integrated into the unified driver profile, making the overall complex system manageable through modular organization.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The server acts as an intermediary that receives, processes, and integrates data from multiple sources (vehicle telematics systems, driver behavior tracking, vehicle databases). The server consolidates this diverse information and generates the comprehensive driver profile, mediating between the complex data collection infrastructure and the simplified profile output.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If driver profiles are updated frequently with latest software update status, then the profile accuracy improves, but the computational resources required increase

Engineering Contradiction:
Improveprofile accuracyVSAvoidcomputational resource consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system implements periodic updates of driver profiles based on software update cycles rather than continuous monitoring. The profile is updated when new software versions are released or installed, creating a periodic update rhythm that maintains profile accuracy without requiring constant computational processing. This periodic approach balances reliability with resource efficiency.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS20240185188A1Driver Profiles Based Upon Responsiveness to Vehicle Alerts
Publication Date: 2024.06.06 STATE FARM MUTAL AUTOMOBILE INSURANCE COMPANY
  • US20240185188A1 patent drawing
  • US20240185188A1 patent drawing
  • US20240185188A1 patent drawing

AI summary

A computer-implemented method includes receiving software version data generated by an on-board system of a vehicle via a network, wherein the software version data indicates a version of software executed by the on-board system to control operational parameters of the vehicle. The method also includes determining, based at least upon (i) the software version data and (ii) a known current version of the software, whether a latest software update was installed for the on-board system, setting, based at least upon whether the latest software update was installed for the on-board system, at least a portion of a driver profile associated with the driver, and transmitting the at least the portion of the driver profile to a third party server.