Autonomous Route Control for Time-Varying Travel Paths
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Solution Overview
Problem
Existing automatic travel control systems face high processing loads due to the need to constantly monitor and adjust to time-varying travel conditions, leading to increased computational demands and development costs.
Innovation Solution
A control device and method that determines whether a travel path includes conditions-varying segments and controls the mobile object to maintain consistent behavior by either adhering to lower speed limits or switching to manual driving, thereby reducing processing loads by avoiding frequent adjustments based on time-varying conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system constantly monitors time periods and adjusts travel control according to time-varying conditions, then the travel control adapts to changing conditions, but the processing load for travel control becomes large
Solution Approach 1:
The patent segments the travel path into conditions-varying sections (where conditions change over time) and non-conditions-varying sections. The travel controller selectively applies time-based control only in conditions-varying sections while maintaining consistent control in non-conditions-varying sections, thereby reducing overall processing load while preserving necessary adaptability.
Solution Approach 2:
The patent applies different control strategies to different sections of the travel path. In conditions-varying sections, the system monitors time periods and adjusts control details accordingly. In non-conditions-varying sections, the system maintains consistent control details regardless of time periods. This localized differentiation reduces processing load by avoiding unnecessary monitoring in sections where it is not needed.
2Manufacturing precision
If the system performs frequent adjustments based on time-varying conditions, then the control accuracy improves, but the processing load increases
Solution Approach 1:
The patent divides the travel path into segments with different characteristics. By identifying conditions-varying sections where time-based adjustments are necessary and non-conditions-varying sections where consistent control suffices, the system maintains control accuracy where needed while reducing processing load in sections where frequent adjustments are unnecessary.
3Speed
If the system monitors travel conditions constantly, then the responsiveness to condition changes improves, but the processing load increases
Solution Approach 1:
The patent implements selective monitoring by identifying conditions-varying sections of the travel path and applying constant monitoring only in those specific sections. In non-conditions-varying sections, the system maintains consistent control without continuous monitoring of time-based condition changes, thereby preserving responsiveness where needed while reducing overall processing load.
Solution Approach 2:
The patent applies periodic time-based control adjustments only in conditions-varying sections where such adjustments are necessary. The travel controller uses time period information to determine when to adjust control details in these specific sections, rather than continuously monitoring and adjusting throughout the entire travel path, thus reducing processing load while maintaining necessary responsiveness.
Data Source
AI summary
A control device that comprises a processor that executes instructions to cause a mobile object to travel autonomously is provided. The processor controls the mobile object based on a conditions-varying travel path so that an automated control of the mobile object does not change even if travel conditions of the conditions-varying travel path vary. The processor also executes instructions to determine a route to a destination. The processor determines the route using automated-driving map information that comprises a travel path other than the conditions-varying travel path when the mobile object travels by automated driving. The processor also determines the route using manual-driving map information that comprises the conditions-varying travel path when the mobile object travels by manual driving.