Adaptive Driving Guidance Based on Ego Driver Reaction Patterns

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Solution Overview

Problem

Traditional systems for detecting unsafe driving conditions often alert drivers, which can lead to increased risk of collisions as drivers may respond in ways that exacerbate the situation.

Innovation Solution

A method that determines the presence of unsafe driving conditions, evaluates these conditions to generate characteristics, and determines driver actions based on a database of driver actions. It then identifies conflicts between these actions and guidance associated with the unsafe driving condition, and updates the guidance accordingly, potentially by not alerting the driver or instructing neighboring vehicles to mitigate the condition.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If drivers are notified of unsafe driving conditions, then safety awareness is improved, but collision risk increases due to driver reactions

Engineering Contradiction:

Improvesafety awarenessVSAvoidcollision risk

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

Instead of always notifying drivers of unsafe conditions, the system inverts the approach by determining when NOT to notify based on predicted driver reactions. The system analyzes driver behavior patterns and withholds notifications when they would cause harmful reactions, thereby reducing collision risk while maintaining safety awareness.

Inventive Principle:

Principle #13The other way round (Inversion)

Solution Approach 2:

The system implements feedback by continuously monitoring driver reactions to notifications and using this information to refine future notification decisions. By analyzing the relationship between notifications and subsequent driver actions, the system learns to optimize notification timing and content to avoid triggering harmful reactions.

Inventive Principle:

Principle #23Feedback

2Loss of information

If traditional notification systems are used, then drivers receive safety information, but driver actions may exacerbate the unsafe condition

Engineering Contradiction:

Improvesafety information deliveryVSAvoidexacerbated unsafe condition

Core Design Contradiction:

Loss of informationVSObject-generated harmful factors

Solution Approach 1:

The system applies preliminary anti-action by predicting driver reactions before issuing notifications. By analyzing driver behavior patterns in advance, the system pre-identifies situations where notifications would trigger harmful reactions and adjusts its notification strategy accordingly, preventing the exacerbation of unsafe conditions.

Inventive Principle:

Principle #9Preliminary anti-action

Solution Approach 2:

The notification system transitions from static to dynamic by continuously adapting notification behavior based on real-time driver behavior analysis. The system adjusts notification timing, type, and content dynamically according to the driver's current state and historical reaction patterns, preventing harmful reactions while maintaining effective safety information delivery.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20250191463A1Incorporating the actions of an ego driver when affected by unsafe driving

Publication Date: 2025.06.12 TOYOTA MOTOR ENG & MFG NORTH AMERICA INC

AI summary

Systems and methods are provided for incorporating an ego driver's style and reactions into unsafe driving detection and mitigation. The system can determine a presence of an unsafe driving condition for a vehicle and evaluate the unsafe driving condition to generate one or more characteristics associated with the unsafe driving condition. One or more driver actions associated with the one or more characteristics can be determined based on information from a database of driver actions. The system can determine a conflict between one of the driver actions and guidance associated with the unsafe driving condition and update the guidance based on the determined conflict.