Insurance Premium Calculation Using Human and Vehicle Telematics
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Solution Overview
Problem
Current systems for determining insurance premiums are based on outdated or incomplete data, as they lack real-time analysis of driver behavior and health status, leading to inaccurate premium quotes.
Innovation Solution
A computerized system that collects and processes near-real-time human telematic data and vehicle telematic data using sensors and devices, providing a business logic processor with health and vehicle safety information to calculate a more accurate insurance premium quote.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current systems use traditional data collection methods for insurance premium determination, then the system complexity remains low, but the data timeliness and accuracy deteriorate leading to outdated premium quotes
Solution Approach 1:
The system segments data collection into two distinct components: health telematics data collected by wearable devices and vehicle telematics data collected by vehicle-based sensors. This segmentation allows each component to specialize in collecting specific types of data independently, improving overall data accuracy while managing system complexity through modular architecture
Solution Approach 2:
The processor performs multiple functions: it receives health telematics data, receives vehicle telematics data, determines insurance premiums based on both data types, and provides quotes to users. This multi-functionality consolidates what would otherwise require separate systems into a single integrated platform, improving data accuracy without proportionally increasing complexity
2Reliability
If real-time data collection and analysis is implemented, then the insurance premium accuracy improves, but the data processing time and computational resources increase
Solution Approach 1:
The system continuously collects and pre-processes health telematics data and vehicle telematics data in real-time before a premium quote is requested. This preliminary data collection and processing ensures that when a quote is needed, the analysis can be performed quickly on already-prepared data, improving reliability without excessive processing delays
Solution Approach 2:
The system provides insurance premium quotes to users based on their actual monitored behavior data, and this feedback loop allows continuous refinement of premium calculations as new data becomes available. The feedback mechanism enables the system to maintain high reliability through ongoing data validation while optimizing processing efficiency through learned patterns
Data Source
AI summary
Systems and methods are disclosed herein for pricing an insurance premium based on telematics data. The system includes a communications interface and a business logic processor in communication with the communications interface. The communications interface receives telematics data collected by a telematics acquisition device. A business logic processor determines an insurance quote for a user based on the received telematics data, vehicle data, and vehicle owner data. The communications interface transmits the insurance quote to the user of the vehicle.