Vehicle Telematics Driving Assessment for Real-Time Behavior Scoring
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Solution Overview
Problem
Existing vehicle telematics data collection systems fail to provide real-time monitoring and assessment of vehicle behavior, leading to inefficiencies in data utilization and response, as different users require tailored information without overwhelming or misleading reports.
Innovation Solution
A driving assessment system comprising a first computing device in the vehicle and a second remote computing device, which collects and analyzes vehicle operational and locational data to calculate a behavior score, using sensors, GPS, and communication interfaces to determine driving events and locations, enabling real-time assessment and tailored reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If comprehensive vehicle telematics data is collected and reported, then information completeness is improved, but information overload occurs causing users to ignore desired information
Solution Approach 1:
The system extracts and reports only the most relevant vehicle behavior information based on user profiles and preferences. The server selectively filters telematics data to identify key events and behaviors that matter to specific users, removing unnecessary information while preserving critical insights about vehicle usage and driver behavior.
Solution Approach 2:
The system tailors the information presented to each user based on their specific needs, role, and preferences. Different users receive customized reports with different levels of detail and different types of information highlighted, making the monitoring experience locally optimized for each user rather than providing a generic one-size-fits-all approach.
2Loss of time
If real-time vehicle telematics data is processed and reported, then responsiveness to vehicle behavior is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system pre-processes and categorizes telematics data as it is collected, organizing information into meaningful events and patterns before users need to review it. The server prepares customized reports in advance based on user profiles, so when users access the system, the information is already organized and ready for immediate review, reducing perceived processing time.
Solution Approach 2:
The server acts as an intermediary between the complex telematics data collection system and the end users. It absorbs the complexity of real-time data processing, filtering, and analysis, while presenting simplified, user-friendly information to users. This mediator role allows the backend to handle complex real-time processing while users experience a simplified interface.
Data Source
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Figure 1B
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AI summary
Aspects of the disclosure relate to using vehicle telematics data to assess parameters associated with vehicle operation. In some instances, a driving assessment system may include a first computing device associated with a user in a vehicle and a second computing located remotely from the first computing device. The first computing device may collect, by way of one or more of an accelerometer and global positioning system (GPS), vehicle operational data and vehicle locational information associated with the vehicle and corresponding to a trip of the vehicle and may transmit such information to the second computing device. The second computing device may identify actionable and second order actionable trip data from the vehicle operational data and vehicle locational information and may calculate a behavior score for the trip.