Adaptive Cruise Control Distance Setting by Driver Identity
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Solution Overview
Problem
Existing cruise control systems lack the ability to adaptively determine optimal distance settings between vehicles based on individual operator preferences and environmental conditions, leading to potential dissatisfaction and increased fuel consumption when automation is used.
Innovation Solution
A system that uses a processor and memory to determine a setting for cruise control based on historical distances maintained by an operator, incorporating identity-based models, environmental information, and operator state data to adjust the distance between vehicles, thereby optimizing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cruise control uses a fixed distance setting, then the system is simple to operate, but it cannot adapt to individual operator preferences and environmental conditions, leading to increased energy consumption
Solution Approach 1:
The system pre-determines operator preferences by analyzing historical driving data and stores these preferences in a database. When cruise control is activated, the system retrieves and applies the pre-determined preferences, eliminating the need for real-time complex analysis while achieving adaptive behavior.
Solution Approach 2:
The system automatically analyzes historical driving data, determines operator preferences, and configures cruise control settings without requiring manual input from the operator. The system serves itself by learning from past behavior and autonomously optimizing current performance.
2Reliability
If cruise control maintains a larger safety distance, then collision risk is reduced, but fuel consumption increases due to reduced engine efficiency
Solution Approach 1:
The system dynamically adjusts the following distance based on real-time conditions including operator preferences, environmental factors, and traffic situations. Rather than maintaining a fixed conservative distance, the system optimizes the distance continuously to balance safety requirements with fuel efficiency goals.
Solution Approach 2:
The system changes the distance parameter adaptively based on multiple factors including operator preferences derived from historical data, current environmental conditions, and safety requirements. This allows optimization of fuel consumption while maintaining acceptable safety margins.
3Measurement precision
If cruise control system incorporates multiple sensors and data processing, then determination accuracy of operator preferences improves, but device complexity and cost increase
Solution Approach 1:
Instead of directly measuring complex operator preferences, the system creates copies of historical driving behavior data and analyzes these copies to infer preferences. This indirect approach achieves accurate preference determination without requiring complex real-time measurement systems.
Solution Approach 2:
The system replaces direct mechanical or electronic measurement of operator preferences with data processing and analysis of historical driving patterns. This substitution of measurement approach achieves accurate preference determination through software analysis rather than complex hardware sensing.
Data Source
AI summary
Based on a model and an identity of an operator of a vehicle, a setting for a cruise control to maintain a distance between the vehicle and a preceding vehicle can be determined. The model can be based on historical distances maintained by the operator. The model can also be based on information about an environment in which the vehicle is operating or information about a state of the operator. The identity can be received from an interface configured to receive information associated with the identity, a cloud computing platform, or a biometric system configured to determine the identity. The cruise control can be caused to operate according to the setting. A rate of energy consumption by the vehicle when the vehicle is controlled by the cruise control can be less than the rate of energy consumption when the vehicle lacks being controlled by the cruise control.