Curve Driving Comfort Control Using Adaptive Lateral Acceleration Thresholds
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Solution Overview
Problem
Conventional vehicle systems lack a comprehensive, adaptive solution for enhancing driving comfort during cornering by not dynamically adjusting critical acceleration values based on individual driver preferences and driving styles, leading to suboptimal alignment with actual driving conditions.
Innovation Solution
A system that records lateral acceleration data, stores it in a database, determines an acceptance threshold based on historical data, predicts expected lateral acceleration for upcoming curves, and issues warnings or adjusts vehicle operation if the anticipated acceleration exceeds the threshold, tailored to individual driver behavior and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional systems use fixed critical acceleration values, then system complexity is reduced, but driving comfort and safety are compromised due to lack of adaptation to individual driver preferences and driving styles
Solution Approach 1:
The system dynamically adapts the acceptance threshold for lateral acceleration based on individually stored driver data and current driving conditions. The threshold is not fixed but adjusts in real-time to match the driver's preferences and driving style, making the system adaptive and versatile while managing complexity through software-based solutions
Solution Approach 2:
The system automatically learns and adapts to the driver's preferences by storing and analyzing individually recorded lateral acceleration data during curve driving. The processing unit autonomously determines the acceptance threshold without requiring manual intervention, allowing the system to self-adjust and improve driving comfort over time
2Reliability
If comprehensive real-time data recording and analysis is implemented, then driving comfort and safety are improved, but data processing requirements and system complexity increase
Solution Approach 1:
The system performs preliminary data collection and analysis by recording lateral acceleration values during curve driving and storing them in a database before critical situations arise. The acceptance threshold is determined in advance based on this stored data, allowing the system to be ready for real-time decision-making without excessive processing delays during actual driving events
Solution Approach 2:
The system continuously monitors lateral acceleration through the detection unit and compares real-time values against the dynamically determined acceptance threshold. This feedback mechanism allows the system to issue timely warnings or control signals to the vehicle systems, improving safety while managing complexity through efficient real-time comparison operations
3Measurement precision
If the acceptance threshold is dynamically adjusted based on stored driver data, then alignment with actual driving conditions is optimized, but measurement and evaluation complexity increases
Solution Approach 1:
The processing unit autonomously determines the acceptance threshold by analyzing individually stored lateral acceleration data from the database. The system self-adjusts the threshold to match the driver's preferences and driving style without requiring manual calibration or complex external interventions, achieving precise measurement alignment through automated data-driven determination
Data Source
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AI summary
This disclosure relates to a system (50) for enhancing driving comfort during curve driving, comprising a detection unit (51) for recording the lateral acceleration of a vehicle (F) during curve driving, a storage unit (52) for storing the recorded lateral acceleration data in a database, a processing unit (53) for determining an acceptance threshold (T) for lateral acceleration (A) based on the stored data, a prediction unit (54) for predicting an expected lateral acceleration (A) for an upcoming curve (K) based on vehicle data and/or map information, a comparison unit (55) for comparing the expected lateral acceleration (A) with the threshold (T), and an output unit (56) for issuing a warning to the driver and/or influencing the driving operation of the vehicle if the expected lateral acceleration (A) exceeds the threshold (T). Furthermore, this disclosure relates to a method for enhancing driving comfort during curve driving, a computer program product and a storage medium on which the computer program product is stored.