Autonomous Route Planning Around User Event Requests

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Solution Overview

Problem

Existing autonomous vehicle navigation systems fail to generate routes that align with user preferences, neglecting personal desires and interests.

Innovation Solution

A routing system that includes processors, memory, and machine-readable instructions to receive user preferences and generate unique navigation routes tailored to meet specific user event requests, allowing the vehicle to navigate to a destination while passing desired locations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional navigation route selection is used based on estimated time of arrival and tolls, then routing efficiency is improved, but user preference satisfaction deteriorates

Engineering Contradiction:

Improverouting efficiencyVSAvoiduser preference satisfaction

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The routing system dynamically adjusts route selection criteria based on user preferences. Instead of using fixed criteria (only time and tolls), the system adapts to incorporate user-specified events, locations, and preferences, making the routing process flexible and responsive to individual user needs while maintaining efficiency

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes the parameters used for route evaluation from static factors (time, tolls only) to dynamic parameters that include user preferences, events of interest, and personalized criteria. This allows the routing algorithm to optimize for both efficiency and user satisfaction by adjusting evaluation parameters based on user input

Inventive Principle:

Principle #35Parameter changes

2Loss of time

If autonomous vehicle navigates directly to destination, then travel time is reduced, but user experience quality deteriorates

Engineering Contradiction:

Improvetravel timeVSAvoiduser experience quality

Core Design Contradiction:

Loss of timeVSEase of operation

Solution Approach 1:

The system performs preliminary actions by proactively identifying and incorporating user preferences, events of interest, and desired locations into the route planning process before navigation begins. This allows the vehicle to optimize for both time efficiency and user experience by pre-calculating routes that satisfy user requirements without requiring manual adjustments during travel

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The routing system incorporates feedback mechanisms where user preferences and reactions to suggested routes influence future routing decisions. The system learns from user feedback about preferred locations, events, and route characteristics, continuously improving the balance between travel time and user experience quality

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12523484B2Systems and methods for generating autonomous navigation routes to match user preferences

Publication Date: 2026.01.13 TOYOTA JIDOSHA KK

AI summary

Systems and methods for generating autonomous navigation routes to match user preferences include an autonomous vehicle and a routing system configured to (i) generate a unique route to satisfy driving past at least one user event request to navigate the autonomous vehicle arrive at a destination and (ii) navigate the autonomous vehicle to the destination along the unique route tailored to meet the at least one user event request.