Automatic Driving Switching Section Determination
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Solution Overview
Problem
Conventional automatic driving assistance systems impose a significant burden on drivers when switching from automatic to manual driving, particularly in road conditions requiring advanced driving skills.
Innovation Solution
An automatic driving assistance device that determines a switching section based on road shape or structure load thresholds, generates a driving action plan to reduce the load from nearby vehicles, and transitions from automatic to manual driving when the load is minimized, thereby reducing driver burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If automatic driving is switched to manual driving without considering road conditions and vehicle loads, then the switching can be performed quickly, but the driver burden increases significantly
Solution Approach 1:
The system performs preliminary evaluation of road conditions (curvature, gradient, lane width) and vehicle loads (nearby vehicles, communication status) before switching from automatic to manual driving. This allows the system to identify suitable switching sections in advance where the driver burden will be minimized, rather than switching immediately without assessment.
Solution Approach 2:
The system continuously monitors road conditions and vehicle loads, using this feedback to determine the optimal timing for switching. The switching decision is based on real-time evaluation of whether the current road section meets the criteria for safe manual driving transition, creating a closed-loop control system that adapts to changing conditions.
2Ease of operation
If the system waits for perfect road conditions to switch to manual driving, then the driver burden is minimized, but the switching may be delayed excessively
Solution Approach 1:
The system uses threshold-based parameter evaluation for road conditions (curvature radius, gradient percentage, lane width) and vehicle loads (number of nearby vehicles, communication quality). By defining specific threshold values, the system can objectively determine when conditions are suitable for switching, balancing driver comfort with timely transition without requiring perfect conditions.
3Reliability
If the system evaluates comprehensive road conditions and vehicle loads before switching, then the switching timing is optimized, but the system complexity increases
Solution Approach 1:
The evaluation system is divided into separate modules: road condition evaluation (curvature, gradient, lane width), vehicle load evaluation (nearby vehicles, communication status), and switching decision integration. This segmentation allows each module to handle specific aspects independently, making the overall complex system more manageable and maintainable while achieving comprehensive evaluation.
Data Source
AI summary
This automatic driving assistance device automatically performs least a part of vehicle control including steering, braking, and acceleration and deceleration within a predetermined travel section. The automatic driving assistance device includes: a switching section determination unit that determines, in the travel section, a section in which a first load that is based on a road shape or a road structure becomes equal to or less than a predetermined threshold as a switching section in which the at least a part of the vehicle control is switched from automatic driving to manual driving; a driving action planning unit that, when the vehicle enters the determined switching section, generates an automatic driving action plan so that a second load that is based on a travel situation of nearby vehicles around the vehicle is reduced; and a driving switching unit that ends automatic driving that is based on the automatic driving action plan and switches the automatic driving to the manual driving.