Context-Aware Driving Score Calculation for Fair Insurance Rating
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Solution Overview
Problem
Current driving score determination methods do not accurately reflect a driver's actual driving aspect, as they uniformly calculate scores for risk events without considering the driver's situation, leading to unfair insurance ratings and inadequate feedback for improving driving habits.
Innovation Solution
A network-based data warehouse system that collects sensor data from vehicles to detect driving contexts and dynamically rescore event scores based on situational driving styles, calculating a driving score on a trip-by-trip basis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a uniform driving score calculation method is used for all risk events, then the calculation process is simple and fast, but the driving score does not accurately reflect the driver's actual driving aspect and situation
Solution Approach 1:
The patent applies dynamics by making the event score adjustable based on driving context. Instead of using fixed uniform scores, the system dynamically modifies event scores according to detected driving situations (e.g., reducing scores for safety-driven actions like rapid deceleration due to cut-in events). This resolves the contradiction by enabling accurate reflection of driving aspects while maintaining a manageable calculation framework through context-based adjustments.
Solution Approach 2:
The patent changes the parameter of event scores from fixed values to context-dependent variable values. By introducing context detection (driving situation, environment, vehicle state) as a modifying parameter, the system transforms the uniform score calculation into a differentiated calculation that accurately reflects actual driving aspects. This parameter change enables precise measurement without requiring complete system complexity.
2Measurement precision
If context detection and dynamic rescoring are implemented, then the driving score accurately reflects driving aspects, but the calculation process becomes more complex
Solution Approach 1:
The patent segments the driving score calculation into distinct modules: context detection module, event detection module, score calculation module, and score adjustment module. By dividing the complex process into separate functional segments, the system can process each aspect independently and efficiently. This segmentation maintains calculation productivity while enabling accurate context-based scoring, as each module handles a specific task without requiring complete reprocessing.
3Reliability
If uniform scoring is applied to all risk events, then the insurance determination process is straightforward, but it leads to unfair insurance ratings that do not consider driving situations
Solution Approach 1:
The patent implements feedback by using detected driving context to adjust event scores. The system continuously monitors driving situations, compares them with detected risk events, and provides feedback in the form of score modifications. For example, when a cut-in event is detected, subsequent rapid deceleration is scored more favorably. This feedback mechanism ensures fair insurance determination by considering actual driving aspects, while the automated nature of the feedback loop prevents excessive system complexity.
Data Source
AI summary
The present invention relates to a method by which a network-based data warehouse system calculates a driver driving score, which is a basis for an insurance rating or insurance payment of a driver, the method comprising the steps of: receiving sensor data detected by a plurality of sensors provided in a vehicle; determining at least one risk event preset on the basis of the received sensor data; determining, on the basis of context data included in the received sensor data, at least one context matched to the at least one determined risk event; rescoring, on the basis of the determined at least one context, an event score corresponding to each of the determined risk events; and calculating a driving score related to driving of the vehicle on the basis of the rescored event scores of the respective risk events.