Vehicle Fuel Efficiency Scoring via Telematics Data Integration
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Solution Overview
Problem
Existing vehicle systems lack comprehensive and user-friendly methods to accurately measure and communicate fuel efficiency, failing to effectively correlate driving behavior with fuel consumption.
Innovation Solution
A method and system that utilize telematics data from sensors to compute fuel consumption and efficiency scores, providing real-time feedback to drivers through mobile devices or vehicle displays, and correlating driving behavior with fuel usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicles are equipped with internal sensors and computer systems to display instant fuel efficiency, then drivers can see how much fuel is being consumed at a given moment, but the system fails to provide comprehensive and accurate measurement of overall fuel efficiency and its correlation with driving behavior
Solution Approach 1:
The patent combines multiple data sources including telematics sensors, mobile device data, and vehicle sensor data into a unified fuel efficiency assessment system. This integration merges disparate data streams to provide comprehensive measurement that correlates fuel consumption with specific driving behaviors, resolving the limitation of isolated sensor systems.
Solution Approach 2:
The patent introduces a server as an intermediary that receives, processes, and correlates data from multiple sources. The server acts as a mediator between vehicle sensors and the driver, performing complex computations to correlate driving behavior with fuel efficiency metrics, thereby recovering the lost information about behavior-fuel relationships.
2Measurement precision
If telematics data is collected and processed through multiple steps including parsing, validation, and computation, then accurate fuel efficiency scores are obtained, but the system complexity increases
Solution Approach 1:
The patent segments the fuel efficiency measurement system into distinct functional modules: data collection from telematics sensors, data parsing and validation, fuel consumption computation, and score generation. This segmentation allows each module to handle specific tasks independently, making the complex system more manageable and maintainable while preserving measurement precision.
Solution Approach 2:
The system incorporates automatic data validation and error handling mechanisms that operate without manual intervention. The parsing and validation processes automatically filter and verify telematics data, reducing the need for complex manual processing while maintaining accurate fuel efficiency scores.
3Ease of operation
If real-time feedback on fuel efficiency is provided to drivers, then drivers can adjust behavior to improve fuel economy, but the system requires continuous data collection and processing
Solution Approach 1:
The patent implements periodic computation of fuel efficiency scores based on collected telematics data rather than continuous real-time processing. The system accumulates data over defined periods and computes scores at intervals, reducing energy consumption while still providing timely feedback to drivers for behavior adjustment.
Solution Approach 2:
The system performs preliminary data validation and filtering during the data collection phase, preparing data for later computation. This preliminary processing reduces the computational burden during score generation, lowering energy requirements while maintaining the ability to provide actionable feedback to drivers.
Data Source
AI summary
Aspects of the embodiments include receiving, from one or more telematics sensors in a vehicle and by the one or more data processing systems, a plurality of telematics data items that are sampled at a plurality of sample times. For a given sample time, accessing a given telematics data item that satisfies the one or more conditions, computing a fuel consumption amount at the given sample time, and determining a distance traveled by the vehicle from a previous sample time that is prior to the given sample time, to the given sample time. For each telematics data items that satisfies the conditions, computing a total distance and a total fuel consumption amount, with the computing based on distances traveled and fuel consumption amounts for the plurality of telematics data items; and determining a fuel efficiency score the total fuel consumption amount and the total distance or a total time.