Vehicle Control System Personalizing Automated Driving via User History
Solution Overview
Problem
Existing automated driving technologies fail to reflect user preferences regarding control characteristics such as acceleration/deceleration and steering, leading to a lack of personalized driving experiences.
Innovation Solution
A vehicle control system that includes an automated driving controller, a collection section, and a driving characteristics derivation section, which collects and analyzes user operation data during manual driving modes to derive and reflect individual driving characteristics in automated driving modes, allowing for personalized control settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated driving control is implemented without considering user preferences, then automation level is improved, but driving comfort and user satisfaction deteriorate
Solution Approach 1:
The system dynamically adjusts automated driving control parameters based on collected user preferences and driving characteristics. The control characteristics are not fixed but adapt over time to match user expectations, resolving the contradiction between automation and comfort by making the system responsive to individual user needs.
Solution Approach 2:
The system collects information about user preferences and manual driving operations, then uses this feedback to adjust automated driving control characteristics. This closed-loop feedback mechanism ensures that automation maintains user satisfaction by continuously learning from and adapting to user behavior patterns.
2Ease of operation
If personalized driving characteristics are derived and applied, then driving comfort is improved, but system complexity increases
Solution Approach 1:
The system automatically collects driving data, derives user preferences, and adjusts control characteristics without requiring explicit user input or configuration. This self-service approach personalizes the driving experience while minimizing the complexity burden on the user, as the system handles the complex derivation and adjustment processes autonomously.
Solution Approach 2:
The system performs preliminary data collection and analysis during manual driving phases to prepare personalized control characteristics before automated driving is activated. This preliminary action allows the system to have personalized parameters ready in advance, reducing the complexity of real-time adaptation during automated operation.
3Measurement precision
If driving characteristics are collected during manual driving mode, then accuracy of automated driving control is improved, but data collection time increases
Solution Approach 1:
The system continuously collects driving characteristic data during manual driving operations without interrupting normal driving activities. This continuous data collection approach achieves high measurement precision by gathering extensive behavioral data over time, while avoiding dedicated data collection periods that would increase time loss.
Solution Approach 2:
The system collects more driving data than the minimum required for basic personalization, including various driving scenarios and conditions. This excessive data collection improves the accuracy and robustness of derived driving characteristics by covering a broader range of situations, while the data is gathered incrementally during normal driving rather than in concentrated sessions.
Data Source
AI summary
A vehicle control system includes: an automated driving controller configured to execute one driving mode from out of a plurality of driving modes including an automated driving mode and a manual driving mode; a vehicle information collection section configured to collect information related to control history of one or both out of speed control and steering control performed based on operation by the occupant of the vehicle while the manual driving mode is being executed; and a driving characteristics derivation section configured to derive driving characteristics for each occupant of the vehicle based on information collected by the vehicle information collection section. The automated driving controller executes the automated driving mode by reflecting the driving characteristics for each occupant of the vehicle to the automated driving.