Curve Speed Assistance Using Driver-Specific Lateral Acceleration
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Solution Overview
Problem
Existing navigation systems fail to provide an optimal curve limiting speed determination for vehicles, lacking support for individual driver preferences and driving styles.
Innovation Solution
A method that determines curve limiting speed and lateral limiting transverse acceleration based on curve radius, using application characteristic curve data to account for individual driving styles and modes, iteratively adjusting these limits to match personal driving habits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If navigation systems provide curve information based on map data, then drivers receive warning about upcoming curves, but the system cannot determine optimal curve limiting speed for individual driving styles
Solution Approach 1:
The system changes the parameter of transverse acceleration based on driving style to determine curve limiting speed. Different driving styles (e.g., sporty, comfortable, economical) correspond to different transverse acceleration parameters, allowing the system to adapt curve speed recommendations to individual driver preferences while maintaining reliable warnings
Solution Approach 2:
The system determines the curve limiting speed in advance before the vehicle reaches the curve, using pre-stored application characteristic curve data that maps transverse acceleration values to curve speeds. This preliminary determination allows the system to provide timely warnings and speed recommendations tailored to the driver's preferred style
2Ease of operation
If a fixed transverse acceleration limit is used for all curves, then the system is simple to operate, but it cannot account for individual driving preferences and modes
Solution Approach 1:
The system implements dynamic adaptability by allowing the transverse acceleration parameter to change based on the selected driving style. Instead of a fixed limit, the system dynamically adjusts the parameter according to whether the driver prefers sporty, comfortable, or economical driving modes, making the system both simple to operate and highly adaptable
Solution Approach 2:
The system stores multiple application characteristic curve data sets corresponding to different driving styles, each with different transverse acceleration parameters. The driver can select their preferred style, and the system automatically changes the relevant parameters to match, providing customization without complicating operation
Data Source
AI summary
A method for supporting a driver of a vehicle in travelling a predetermined route in traffic, including a receiving of route data which describes at least one upcoming curve of the predetermined route to be travelled by the vehicle by a curve radius. The method also includes determining a curve threshold speed and/or a lateral acceleration threshold, wherein the curve threshold speed or the lateral acceleration threshold describes a maximum curve speed or a maximum lateral acceleration according to the curve radius. Application characteristic curve data is used to determine the curve threshold speed and/or the lateral acceleration threshold, wherein the application characteristic curve data describes a driving-style-specific relationship between a lateral acceleration and a vehicle speed.