Vehicle Route Control for Changing Destinations and Arrival Times

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current navigation systems fail to adapt to changes in destination or intermediate stops during vehicle travel, lacking optimal route guidance when the initially set destination is altered.

Innovation Solution

A vehicle control method and system that considers changes in destination, appointment place reachability, driving conditions, and participant arrival times, adjusting routes dynamically to ensure timely arrival and safe navigation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the navigation system follows the initially selected guide route to the original destination, then the route guidance is simple and straightforward, but it cannot adapt when the destination changes or when intermediate stops need to be added

Engineering Contradiction:

Improveadaptability to destination changesVSAvoidroute guidance complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The navigation system dynamically adjusts the guide route based on changing conditions such as destination changes, intermediate stops, and driving conditions. The controller continuously monitors these parameters and recalculates the optimal route in real-time, transforming the static navigation system into a dynamic one that adapts to varying requirements during travel

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback mechanisms by monitoring driving conditions, appointment reachability, and participant availability, then using this information to adjust the guide route. The controller receives feedback about the current state and modifies the navigation plan accordingly, creating a closed-loop control system

Inventive Principle:

Principle #23Feedback

2Reliability

If the system notifies all appointment participants of time changes, then coordination among participants is improved, but communication time and system complexity increase

Engineering Contradiction:

Improveappointment coordination reliabilityVSAvoidcommunication time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by notifying appointment participants of time changes in advance before the actual appointment occurs. This allows participants to adjust their schedules proactively, reducing last-minute coordination issues and ensuring smoother execution of the appointment

Inventive Principle:

Principle #10Preliminary action

3Productivity

If the guide route is reset based on multiple driving conditions and participant factors, then the route optimization is improved, but the calculation complexity and processing time increase

Engineering Contradiction:

Improveroute optimization efficiencyVSAvoidcontrol system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The controller segments the route optimization process into distinct evaluation stages: first assessing driving conditions (driving difficulty, driver skill, autonomous driving capability), then evaluating appointment factors (participant availability, time constraints), and finally integrating these segmented assessments to determine the optimal guide route reset strategy

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12529566B2Vehicle and method of controlling the same

Publication Date: 2026.01.20 HYUNDAI MOTOR CO LTD

AI summary

An embodiment method of controlling a vehicle including receiving a schedule including an appointment time and an appointment place, selecting a guide route having the appointment place as a destination, and changing the schedule or the guide route based on whether the appointment place is reachable within the appointment time, whether the appointment place is changeable, or a vehicle driving condition.