Vehicle Event Simulation Data Emulation
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Solution Overview
Problem
Current methods for simulating vehicle events face challenges in replicating adverse events due to data collection limitations and vehicle damage, which hinders effective analysis and modeling.
Innovation Solution
A computer-implemented method for generating new data associated with vehicle events by obtaining event data, identifying parameters, emulating and extrapolating data through simulation, and updating datasets to re-simulate events with modified parameters, using emulation devices like steering wheels and gas pedals, and analyzing the results for confidence intervals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle events are physically replicated to collect data, then data for analysis can be obtained, but the vehicle is damaged and cannot be used for further replication
Solution Approach 1:
The patent creates virtual copies of vehicle events through simulation software rather than physically replicating events with actual vehicles. The simulation system generates synthetic event data that mirrors real vehicle event characteristics without requiring physical vehicle repetition, thereby eliminating damage to the original vehicle while maintaining data availability for analysis.
2Measurement precision
If data is collected from actual vehicle events, then authentic event data is obtained, but data gaps and limitations prevent complete analysis
Solution Approach 1:
The patent merges real vehicle event data with simulated event data to create a comprehensive dataset. The simulation system generates additional data points that fill gaps in the original collected data, combining authentic measurements with synthesized information to achieve both data authenticity and completeness for thorough analysis.
Solution Approach 2:
The simulation system acts as an intermediary between data collection limitations and analysis requirements. It generates synthetic data that bridges gaps in the original dataset, providing missing information while maintaining consistency with authentic event characteristics, thereby enabling complete analysis without requiring additional physical data collection.
3Productivity
If vehicles are repaired after damage to enable further testing, then vehicle reuse is possible, but time and resources are consumed
Solution Approach 1:
The patent replaces physical vehicle repetition with virtual simulation copying. Instead of repairing and reusing the actual vehicle, the system creates multiple virtual instances of the vehicle event through simulation, eliminating repair time entirely while maintaining the ability to conduct repeated analysis and testing.
4Productivity
If simulation is used to replicate vehicle events, then vehicle damage is avoided, but data accuracy and realism may be compromised
Solution Approach 1:
The simulation system serves as an intermediary that is calibrated to match real vehicle event characteristics. It uses mathematical models and algorithms to generate synthetic data that accurately reflects authentic event parameters, thereby maintaining measurement precision while avoiding physical vehicle damage and preserving vehicle availability for continuous operation.
Data Source
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AI summary
The present disclosure provides, in an aspect, computer-implemented method for generating data associated with a vehicle event, the method including obtaining vehicle event data for a vehicle event associated with a vehicle; identifying a parameter associated with the vehicle event; emulating the parameter based on simulating the vehicle event with the vehicle event data and a model of the parameter, and extrapolating parameter data based on the simulated vehicle event.