Adapting Vehicle Navigation Using Driver Capability Metrics

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Solution Overview

Problem

Prior art navigation systems do not consider individual driving abilities, physical limitations, or age-related factors when providing navigation instructions, failing to tailor routes to a driver's specific capabilities.

Innovation Solution

A method and apparatus that adapt a vehicle's navigation system to a driver's personality by monitoring and analyzing vehicle operation data, including speed, lane usage, and health indicators, to provide route guidance suitable for the driver's physical and experiential limitations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If navigation systems provide standard route guidance without personalization, then system complexity remains low, but adaptability to individual driver capabilities deteriorates

Engineering Contradiction:
Improveadaptability to driver capabilitiesVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary assessment of driver capabilities by monitoring driving behavior patterns, health metrics, and experience levels before generating personalized navigation routes. This advance characterization allows the system to adapt route recommendations to match the driver's actual abilities without adding complexity during real-time navigation.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The navigation system dynamically adjusts route recommendations based on continuously collected driver performance data. As the system gathers more information about the driver's capabilities through monitoring driving patterns and health metrics, it evolves its route suggestions to better match the driver's actual abilities, making the system progressively more adaptive.

Inventive Principle:
Principle #15Dynamics

2Measurement precision

If navigation systems monitor multiple driver metrics to assess capabilities, then accuracy of driver assessment improves, but device complexity increases

Engineering Contradiction:
Improvedriver capability assessment accuracyVSAvoidmonitoring system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system combines multiple data sources including driving behavior patterns, health metrics from wearable devices, and experience levels into a unified driver capability assessment model. By merging these diverse inputs through integration layers and data fusion algorithms, the system achieves comprehensive and accurate driver characterization without requiring each individual sensor to be overly complex.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The monitoring system is designed to collect multiple types of driver metrics using a unified data collection framework that can handle various input sources (vehicle sensors, mobile device data, wearable device data). This multi-functional approach allows the same system infrastructure to gather diverse information about driver capabilities without proportionally increasing complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Reliability

If navigation routes are customized to match driver capabilities, then driver safety improves, but navigation computation time increases

Engineering Contradiction:
Improvedriver safetyVSAvoidnavigation computation time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system pre-calculates personalized route options based on the driver's capability profile before the navigation session begins. By performing route customization computations in advance rather than in real-time, the system reduces the computational time required during actual navigation while still providing safety-appropriate route recommendations tailored to the driver's abilities.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system generates a limited set of pre-evaluated route options that are sufficient for safe navigation rather than computing all possible routes. By providing a curated subset of routes that meet safety criteria based on driver capabilities, the system achieves adequate safety personalization without the excessive computation time required to analyze every possible route variation.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS9103688B2Adapting vehicle personality using analyzed driver performance metrics
Publication Date: 2015.08.11 AUMOVIO SYSTEMS INC
  • US9103688B2 patent drawing
  • US9103688B2 patent drawing
  • US9103688B2 patent drawing

AI summary

A vehicle's driving personality is adapted to a driver by determining a driver's ability to operate the vehicle by monitoring the driver's operation. The driver's operation, such as vehicle speed, lane usage, and braking, is compared to known characteristics of the road segment on which the vehicle is being driven. The driver's competency is evaluated by comparing how the driver operates a vehicle on a segment of roadway to how the vehicle could be operated and stay within limits imposed by law. A driver's ability to operate the vehicle can also be obtained from sensors that monitor a driver's heart rate, respiration rate, eye movement, and other health-indicating autonomic responses. After the driver's capabilities are determined, navigation instructions provided to the driver thereafter are modified to route the driver over roads that are either preferred or appropriate for the driver's physical abilities.