Telematics Fuel Data Validation for Fleet Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing telematics devices face challenges in accurately tracking and evaluating fuel consumption due to unreliable fuel consumption data and confounding factors unrelated to the vehicle, making it difficult to calculate fuel economy effectively.
Innovation Solution
A method involving a telematics device that collects fuel data, determines confidence levels for each fuel data source, generates mid-trip records, identifies initial and final fuel data sources, and transmits records to a fleet management system to validate and calculate fuel consumption and economy, while also considering idling and aggressive driving data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If fuel data is collected from multiple fuel data sources, then the completeness of fuel consumption data is improved, but the reliability of fuel consumption data deteriorates due to unavailable or unreliable data
Solution Approach 1:
The system performs preliminary validation of fuel data sources before using them for calculations. It identifies and flags unreliable or unavailable data in advance, preventing contamination of the fuel economy calculations while still maintaining data collection from multiple sources for completeness.
Solution Approach 2:
The system introduces an intermediary validation layer between raw fuel data collection and final fuel economy calculations. This intermediary process assesses data quality and reliability, allowing the system to filter out problematic data while preserving useful information from multiple fuel data sources.
2Quantity of substance
If fuel economy calculations include all available fuel data, then the quantity of data used is improved, but the measurement precision deteriorates due to confounding factors unrelated to the vehicle
Solution Approach 1:
The system extracts and separates confounding factors from the fuel economy calculations. It identifies data points influenced by external factors unrelated to vehicle performance and excludes them from the calculation, thereby improving measurement precision while retaining relevant fuel consumption data.
Solution Approach 2:
The system applies different quality standards to different portions of the fuel data. Rather than uniformly including or excluding data, it selectively validates and weights data based on local conditions and reliability indicators, allowing high-quality data to contribute more to the final calculation while minimizing the impact of low-quality data.
3Reliability
If the system validates fuel data at multiple points during the trip, then the reliability of fuel consumption tracking is improved, but the device complexity increases
Solution Approach 1:
The validation process is segmented into discrete checkpoints during the trip rather than continuous monitoring. The system validates fuel data at specific intervals or milestones, reducing computational complexity while maintaining reliability through periodic verification of fuel consumption tracking.
Data Source
AI summary
Systems and methods for tracking and evaluating fuel consumptions of vehicles are provided. The method can involve operating a telematics device installed in the vehicle to: collect fuel data from at least one fuel data source of the vehicle; track, for each fuel data source, a cumulative amount of fuel consumed by the vehicle; determine a confidence level of each fuel data source; identify an initial fuel data source; generate a plurality of mid-trip fuel records; identify a final fuel data source based on a priority of each fuel data source and each confidence level of each fuel data source; determine whether the plurality of mid-trip fuel records is valid; and transmit the plurality of mid-trip fuel records and an indication of whether the plurality of mid-trip fuel records is valid to a fleet management system.