Vehicle Travel Plan Selection Under Restricted Driving Scenes
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Solution Overview
Problem
Existing vehicle control systems face delays in reaction time when encountering restricted traveling scenes, such as parallel-traveling cars or lane reductions, leading to inefficiencies in generated traveling plans.
Innovation Solution
A vehicle control device and method that determine restricted scenes, set priorities for driving behaviors, generate and select executable traveling plans, and control the vehicle based on the highest-priority plan, reducing the need for new plan generation and minimizing delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a traveling plan is generated based on a determined driving behavior, then the traveling plan corresponds to the intended driving behavior, but the reaction time is delayed when the driving behavior becomes inexecutable due to restricted traveling scenes
Solution Approach 1:
The system performs preliminary actions by determining executability of driving behaviors before generating traveling plans, and by pre-setting alternative driving behaviors in priority order. This allows the system to quickly select alternative behaviors when restrictions are detected, avoiding delays in generating new traveling plans.
Solution Approach 2:
The system dynamically adjusts the selection of driving behaviors based on real-time executability assessments. When a determined driving behavior is found to be inexecutable due to restricted traveling scenes, the system flexibly transitions to alternative driving behaviors from the priority-ordered list, ensuring continuous adaptability without fixed procedural delays.
2Adaptability or versatility
If new traveling plans are generated when driving behaviors are inexecutable, then the system adapts to restricted scenes, but the control reaction is delayed due to the time required for new plan generation
Solution Approach 1:
The system performs preliminary assessments of driving behavior executability before finalizing traveling plans. By evaluating whether determined driving behaviors can be executed in restricted traveling scenes in advance, the system identifies inexecutable behaviors early and prepares alternative options, reducing the time needed for adaptive plan generation when restrictions are encountered.
Solution Approach 2:
The system serves itself by maintaining a priority-ordered list of alternative driving behaviors that can be quickly selected when determined behaviors are inexecutable. This self-service mechanism allows the system to adapt to restricted traveling scenes using pre-prepared alternatives rather than requiring time-consuming generation of entirely new traveling plans from scratch.
3Reliability
If the system determines executability before selecting traveling plans, then the reliability of selected plans is improved, but the processing time increases
Solution Approach 1:
The system performs partial executability determination focused on key aspects of driving behavior feasibility rather than comprehensive analysis of all possible factors. By assessing only the critical elements needed to determine whether a driving behavior can be executed in restricted scenes, the system achieves sufficient reliability for plan selection while minimizing processing time overhead.
Solution Approach 2:
The system uses pre-established priority orderings of alternative driving behaviors to streamline the selection process. When executability determination identifies inexecutable behaviors, the system can quickly select from pre-ranked alternatives without requiring complex optimization calculations, thereby maintaining high reliability in plan selection while preserving processing speed.
Data Source
AI summary
A vehicle control device includes a scene determination unit determining whether or not a current traveling scene is a traveling-restricted scene, an order setting unit setting priorities corresponding to a restriction with respect to driving behaviors previously classified for different purposes in a case where it is determined that the traveling scene is the traveling-restricted scene and setting priorities with respect to the plurality of driving behaviors in a case where it is not determined that the traveling scene is the traveling-restricted scene, a traveling plan generating unit generating traveling plans corresponding to the plurality of priority-set driving behaviors, an executability determination unit determining executability of each of the plurality of generated driving behaviors, a traveling plan selection unit selecting the traveling plan corresponding to the driving behavior with the highest priority, and a traveling control unit controlling the traveling of the host vehicle based on the traveling plan.