Vehicle Travel Plan Prioritization for Restricted Driving Scenes
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Solution Overview
Problem
Existing vehicle control systems face challenges in managing driving behaviors in restricted scenes, leading to potential delays in traveling control reactions.
Innovation Solution
A vehicle control device and method that determine if a traveling scene is restricted, set priorities for driving behaviors, generate multiple traveling plans based on these priorities, assess their executability, select the highest-priority executable plan, and control the vehicle accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single traveling plan is generated based on initial driving behavior determination, then the control process is simple, but the reaction may be delayed when the initial plan becomes inexecutable
Solution Approach 1:
The system performs preliminary actions by generating multiple candidate traveling plans in advance corresponding to different driving behaviors (lane change, lane keeping, evacuation) before any single plan is executed. This ensures that when the current plan becomes inexecutable, a replacement plan is already available, eliminating delays while maintaining manageable complexity through structured pre-computation.
Solution Approach 2:
The system dynamically adjusts the selection of traveling plans based on real-time executability assessment. The traveling plan selection unit switches between different pre-generated plans according to current scene conditions, allowing the system to adapt flexibly to changing environments without regenerating plans, thus improving response speed while keeping the generation process static and controlled.
2Reliability
If multiple traveling plans are generated for different driving behaviors, then the reaction delay is reduced, but the calculation load increases
Solution Approach 1:
The system applies local quality by generating multiple traveling plans with different levels of detail and complexity tailored to specific driving behaviors. Each plan type (lane change, lane keeping, evacuation) has its own optimized generation parameters, allowing the system to maintain high reliability across different scenarios while minimizing overall calculation load by avoiding uniform high-complexity generation for all plans.
Solution Approach 2:
The system changes parameters such as the number of candidate plans, the detail level of plan generation, and the assessment criteria based on the current traveling scene and driving behavior type. This allows dynamic adjustment of calculation resource consumption while maintaining sufficient plan quality and executability for each specific situation.
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.