Dynamic Usage-Based Insurance Pricing System
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Solution Overview
Problem
Conventional vehicle insurance policies do not account for driving behaviors, environmental conditions, or usage patterns, leading to inefficient cost distribution and lack of dynamic pricing based on actual vehicle operation data.
Innovation Solution
A dynamic usage-based insurance system that calculates cost per day and cost per mile by analyzing driving data, including road types, time of day, and events like hard braking and cornering, to provide personalized insurance rates adjusted in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional term-based insurance policies are used, then coverage is provided for the entire policy term regardless of actual driving behavior, but cost distribution becomes inefficient and does not account for actual vehicle usage
Solution Approach 1:
The patent implements dynamic pricing by continuously adjusting insurance premiums based on real-time driving behavior data, road conditions, and usage patterns. The system transitions from static term-based pricing to dynamic usage-based pricing that adapts to changing driving conditions and behaviors throughout the policy period.
Solution Approach 2:
The system changes pricing parameters dynamically based on detected driving events, road segment characteristics, and usage patterns. Insurance rates are adjusted according to specific parameters such as hard braking events, cornering intensity, time of day, and road type, transforming fixed premiums into variable rates that reflect actual risk.
2Measurement precision
If usage-based insurance policies are implemented, then cost per mile can be calculated based on actual driving data, but the system complexity increases due to need for sensors, data collection, and real-time processing
Solution Approach 1:
The patent leverages existing vehicle sensors and communication systems that are already present in most modern vehicles for telematics and navigation purposes. By making these systems serve dual purposes (navigation + insurance data collection), the patent reduces the need for separate dedicated hardware while achieving precise usage-based measurement.
Solution Approach 2:
The system uses communication systems and data processing intermediaries to bridge the gap between vehicle sensors and insurance pricing calculations. These intermediaries aggregate data from multiple sources, perform real-time analysis, and translate raw sensor data into insurance-relevant metrics, simplifying the overall architecture.
3Productivity
If dynamic pricing is implemented based on real-time driving data, then insurance costs can be adjusted in real-time, but data processing requirements and computational load increase significantly
Solution Approach 1:
The patent segments the data processing workload into multiple components: vehicle-based preprocessing for immediate events, regional aggregation for pattern recognition, and central processing for final pricing decisions. This segmentation allows real-time responses for immediate driving events while distributing computational burden across multiple levels.
Solution Approach 2:
The system processes only the most critical and relevant data elements in real-time (such as hard braking events, severe cornering, and high-risk road segments) while aggregating less critical data for later analysis. This selective processing approach maintains real-time pricing capability while reducing overall computational energy consumption.
Data Source
AI summary
Methods, computer-readable media, systems and apparatuses for determining and implementing dynamic usage-based insurance policies are presented. A cost per day and a cost per mile associated with the dynamic usage-based insurance policy may be determined. The cost per mile may be computed independently for each of a plurality of road segments comprising a trip based on a time of day that the vehicle traveled each road segment, a road type associated with each road segment. The cost per mile of each road segment of the driving trip may further include whether or not hard braking or hard cornering events were encountered during a specified cumulative driving distance that may include, at least a portion, of a plurality of driving trips. The cost per mile for each of the plurality of driving trips may be adjusted once a threshold distance has been traveled by the vehicle based on the number of hard braking events and hard cornering events occurred during that distance.