Proximate Automobile Trust Scoring for Affinity Group Formation

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing technologies fail to effectively recognize and utilize relationships between automobiles that frequently encounter each other, limiting the formation of meaningful groups for sharing information and benefits.

Innovation Solution

A computer-implemented method that identifies proximate automobiles, calculates a trust score based on frequency and proximity, and invites qualified vehicles into affinity groups for sharing information and opportunities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If automobiles frequently encounter each other on roads and in parking facilities, then opportunities for forming social and business groups arise, but existing technologies fail to recognize and utilize these relationships

Engineering Contradiction:

Improverelationship information between automobilesVSAvoidformation of meaningful groups

Core Design Contradiction:

Loss of informationVSProductivity

Solution Approach 1:

The system performs preliminary actions by continuously tracking and recording proximity events between automobiles before group formation is needed. The trust score is calculated in advance based on accumulated proximity data, so when grouping is desired, the evaluation is already complete and immediate group formation can occur

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces a trust score as an intermediary metric that mediates between raw proximity data and group formation decisions. This trust score serves as a quantitative bridge that translates frequent encounters into a measurable qualification criterion for affinity group membership

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If a trust score system is implemented to qualify automobiles for affinity groups, then reliable group formation is enabled, but additional processing steps are required

Engineering Contradiction:

Improvequalification process for affinity groupsVSAvoidprocessing steps for trust score calculation

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system performs self-service by having each automobile independently calculate its own trust score based on its recorded proximity encounters. Each vehicle maintains its own affinity group qualifications without requiring centralized verification, reducing overall system complexity while maintaining reliability

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent transforms the complex qualitative assessment of automobile relationships into a simple quantitative parameter - the trust score. By changing the parameter from qualitative relationship assessment to quantitative trust scoring, the system simplifies the qualification process while maintaining reliability

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10572893B2Discovering and interacting with proximate automobiles

Publication Date: 2020.02.25 KYNDRYL INC

AI summary

As disclosed herein a computer-implemented method includes identifying, by a first automobile, a proximate automobile, and determining a trust score corresponding to the proximate automobile. The method further includes conducting an affinity group qualification process responsive to the trust score exceeding a selected threshold value, and inviting the proximate automobile into the affinity group responsive to the proximate automobile passing the affinity group qualification process. A computer program product and a computer system corresponding to the above method are also disclosed herein.