Telematics Driving Assessment Using OBD and Mobile Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Insurance companies face challenges in integrating telematics data into risk assessment due to limitations in data flow configuration and data structure of telematics devices, resulting in simplified policy structures and limited data usage.
Innovation Solution
A method and system for assessing driving behavior using telematics data from different sources, including vehicle behavior data from OBD-II devices and personal mobility data from mobile devices, to determine driving attributes and calculate scoring factors for personalized insurance policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If telematics data from multiple sources is integrated into risk assessment, then the accuracy and comprehensiveness of driving behavior assessment is improved, but the data management complexity and device complexity increase
Solution Approach 1:
The patent segments telematics data collection into two distinct types: vehicle behavior data collected via OBD-II port connections and personal mobility data collected via mobile device connections. This segmentation allows each data source to be managed independently with its own connection type and data structure, reducing overall data management complexity while maintaining comprehensive assessment accuracy.
2Adaptability or versatility
If telematics data is integrated into insurance products, then personalized risk assessment is improved, but the policy structure complexity increases
Solution Approach 1:
The patent creates a universal telematics-based insurance product structure that can accommodate multiple data sources (OBD-II and mobile device connections) and various driving attributes under a single policy framework. This multi-functional approach allows personalized risk assessment across different vehicles and operators without requiring separate complex policy structures for each scenario.
3Ease of operation
If telematics-based insurance products use limited data collection, then the policy structure is simplified, but the scope and type of data used is reduced
Solution Approach 1:
The patent adds a new dimension to telematics data collection by incorporating personal mobility data from mobile devices alongside traditional vehicle behavior data from OBD-II connections. This dimensional expansion enables the system to capture additional driving attributes and behaviors without complicating the underlying policy structure, as both data types feed into the same unified assessment framework.
Data Source
AI summary
Implementations claimed and described herein provide systems and methods for generating a driving behavior assessment using telematics data. The systems and methods use different types of telematics data generated via different data connections. Vehicle behavior telematics data is generated using a first type of connection with a vehicle (e.g., using an onboard diagnostics (OBD) device) and personal mobility telematics data is generated using a second type of connection via a mobile device associated with a vehicle operator. One or more driving attributes associated with the vehicle operator are determined by the system based on at least one of the vehicle behavior telematics data or the personal mobility telematics data. Scoring factors are calculated based on the one or more driving attributes. Furthermore, a policy level rate structure for an insurance policy can be generated based on the one or more scoring factors.