Vehicle Speed Profile Generation Using Driver Skill and Aggression Parameters
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Solution Overview
Problem
Current solutions lack the capability to generate large-scale synthetic vehicle data, particularly vehicle speed profiles, which are essential for robust analytics and simulation, and existing systems are not designed for synthetic data generation from vehicle dynamics simulations.
Innovation Solution
A method and system that processes driver characteristics and trip data to generate vehicle speed profiles by constructing acceleration datasets, processing speed values for anomalies, and validating them against geography-specific standards, using modules for data reception, driver profiling, trip parameter construction, acceleration generation, and speed profile creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle model based simulations are used for testing vehicle model concept, then simulation accuracy is improved, but data generation capability is insufficient
Solution Approach 1:
The patent uses analytical solutions to copy real vehicle dynamics behavior and generate synthetic speed profiles that replicate actual driving patterns. Instead of relying solely on complex vehicle models, the system creates simplified copies of real-world speed variations that can be generated at scale for testing purposes.
2Ease of operation
If purely analytics platforms are used for data analysis, then ease of operation is improved, but synthetic data generation capability is lacking
Solution Approach 1:
The patent integrates multiple functions into a single platform: it maintains the analytical capabilities of user-friendly analytics platforms while adding synthetic data generation functionality. The system can both analyze existing vehicle data and generate new synthetic speed profiles, making it versatile for various testing and validation scenarios.
3Measurement precision
If existing analytics solutions are used for diagnostics, then measurement capability is improved, but large-scale synthetic data generation is not achieved
Solution Approach 1:
The patent generates synthetic speed profiles in advance through analytical solutions, creating large volumes of test data before actual testing scenarios. This preliminary generation of diverse speed profiles enables comprehensive validation of vehicle analytics systems without requiring extensive real-world data collection.
Data Source
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AI summary
A method and system is provided for vehicle speed profile generation. The method is performed by receiving data pertaining to driver characteristics and characteristics of trips taken by said driver, creating driver profile by generating skill and aggression parameters for said driver, constructing trip parameters pertaining to said trips taken by the driver by processing the skill and aggression parameters, constructing acceleration dataset for said trips, constructing speed values from the acceleration dataset and processing the speed values for anomalies.