Adaptive Cruise Control System Location-Based Driver Behavior Profile
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Solution Overview
Problem
Conventional adaptive cruise control systems are ineffective in non-typical driving conditions and road terrains, leading drivers to frequently override the system, as they struggle to balance safety, fuel economy, and driver sentiment in varied environments.
Innovation Solution
A method that identifies driver overrides and creates a profile of driver behavior based on geographic location, road terrain, and road conditions, allowing the system to adapt and set a default cruise control profile for similar locations, enhancing the adaptive cruise control system's performance in non-typical conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional ACC systems are designed for typical driving conditions, then they can maintain the requisite gap and maximize fuel economy in normal conditions, but they become ineffective in non-typical driving conditions and road terrains
Solution Approach 1:
The ACC system dynamically adapts its control parameters based on real-time detection of road terrain and driving conditions. The system transitions from static conventional control to dynamic adaptive control by continuously monitoring GPS location, road grade, curvature, and driver actions, then adjusting cruise control settings accordingly to maintain effectiveness across varying environments.
Solution Approach 2:
The system changes its operating parameters based on detected conditions. By identifying road terrain characteristics (grade, curvature) and driver override patterns, the system modifies cruise control parameters such as speed adjustments, gap maintenance, and throttle control to optimize performance for non-typical conditions rather than using fixed parameters designed only for typical driving.
2Reliability
If the ACC system maintains strict safety requirements in all conditions, then safety is improved, but driver sentiment and ease of operation deteriorate due to overly conservative behavior
Solution Approach 1:
The system applies different control characteristics to different driving conditions and locations. Instead of uniform conservative behavior everywhere, the ACC system tailors its safety margins and control aggressiveness to local conditions - applying stricter safety measures in hazardous terrain while allowing more aggressive fuel-efficient operation in safe conditions, creating locally optimized behavior that balances safety and driver sentiment.
Solution Approach 2:
The system incorporates feedback from driver override actions to learn and adapt its behavior. When drivers override the ACC system in specific conditions, the system records these actions and adjusts future control strategies to better match driver expectations and needs, thereby improving driver sentiment while maintaining safety through continuous learning and adaptation.
3Ease of operation
If the ACC system is overridden frequently by drivers, then driver control and sentiment are improved, but fuel economy and productivity deteriorate due to loss of automated efficiency
Solution Approach 1:
The system performs preliminary analysis of driver behavior patterns and road conditions to anticipate when overrides are likely to occur. By pre-adapting control strategies to match predicted driver actions based on historical data and current terrain, the system reduces the frequency of overrides needed while maintaining driver control satisfaction, thereby preserving fuel economy benefits.
Solution Approach 2:
The system serves itself by automatically learning from driver override patterns and improving its own control algorithms. Through continuous monitoring of driver actions and automatic adjustment of control strategies, the system becomes progressively better at anticipating driver needs and providing appropriate control assistance, reducing override frequency while maintaining driver satisfaction and fuel efficiency.
Data Source
AI summary
A method for controlling a cruise control system on a vehicle includes identifying a vehicle location and identifying a number of respective cruise control overrides by a driver at the vehicle location. If the number of cruise control overrides by the driver is at least a threshold number of overrides, identifying respective actions by the driver after the cruise control overrides, and creating a profile of the driver behavior associated with the vehicle location based on the respective actions by the driver within a range around the vehicle location after the driver overrode the cruise control.