Vehicle Risk Unit Insurance Using Sensor-Based Driving Exposure

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Solution Overview

Problem

Conventional vehicle insurance policies do not account for driving behaviors, environmental conditions, or vehicle usage patterns, leading to inefficient risk management and premium allocation.

Innovation Solution

A risk unit based insurance system that utilizes sensor data from vehicles to determine a consumption rate of risk units, adjusting insurance coverage based on driving behaviors, environmental conditions, and other factors, and provides real-time feedback and recommendations to users to reduce consumption rates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional term-based insurance policies are used, then coverage is provided for a fixed period regardless of driving behavior, but premium allocation becomes inefficient and does not reflect actual risk

Engineering Contradiction:
Improvecoverage accuracyVSAvoidpremium allocation efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent implements dynamic insurance coverage that adjusts in real-time based on actual driving behavior data collected from sensors. Instead of static term-based policies, the system continuously monitors driving patterns, environmental conditions, and vehicle usage to dynamically calculate risk units consumed, making the coverage adaptive to actual risk exposure throughout the policy period

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the parameter of coverage duration from fixed time periods to variable risk units. Each risk unit represents a specific amount of risk exposure based on driving behavior parameters such as acceleration, braking, speed, and environmental conditions. This parameter transformation allows premium allocation to directly reflect actual risk rather than time elapsed

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If risk unit consumption is continuously monitored based on sensor data, then premium allocation becomes more accurate and responsive, but system complexity increases

Engineering Contradiction:
Improverisk measurement accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent leverages the existing multi-functional sensor systems already present in modern vehicles for other purposes (safety, navigation, entertainment) and repurposes them for insurance risk monitoring. By making the sensor system universal, the patent avoids adding dedicated monitoring hardware, thus reducing overall system complexity while achieving precise risk measurement

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

Solution Approach 2:

The system introduces an intermediary computational layer that processes raw sensor data and translates it into risk unit consumption metrics. This intermediary layer abstracts the complexity of continuous monitoring and calculation, providing a simplified interface between the complex sensor network and the insurance policy management system

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentEP3854650B1Risk unit based policies
Publication Date: 2024.05.22 ARITY INT LTD
  • EP3854650B1 patent drawingFigure 1
  • EP3854650B1 patent drawingFigure 2
  • EP3854650B1 patent drawingFigure 3

AI summary

Methods, computer-readable media, systems and apparatuses for implementing risk unit based insurance policies are presented. A user may receive a plurality of risk units associated with an insurance policy. The risk units may be stored in a risk unit account associated with the user, the vehicle, etc. During operation of the vehicle, sensor data may be received. The sensor data may provide information associated with driving behaviors of the user, environmental conditions in which the vehicle is being operated, and the like. A consumption rate of the risk units may be determined based, at least in part, on the received sensor data. In some examples, the consumption rate may be displayed to the user, such as via a mobile device of the user or a vehicle display. Further, in some arrangements, one or more driving modifications to reduce a consumption rate may be determined and provided to the user.