Driver Sensitivity Determination at Temporary Stop Intersections
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Solution Overview
Problem
The existing unexpectedness prediction sensitivity determination methods for drivers at temporary stop intersections are inaccurate due to variations in vehicle velocity caused by intersection states such as visibility and traffic volume, leading to deteriorated prediction accuracy.
Innovation Solution
The system determines a standard driving operation level for each temporary stop intersection based on intersection travel information from multiple vehicles and calculates the unexpectedness prediction sensitivity using average and standard deviation values specific to intersections with identical operation levels, thereby improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the unexpectedness prediction sensitivity is determined based on the entire recorded vehicle velocity information, then the determination process is simple, but the determination accuracy deteriorates when driving operations change according to intersection states
Solution Approach 1:
The patent segments the recorded vehicle velocity information by grouping it according to the standard driving operation level at each temporary stop intersection. Instead of treating all velocity data as a single group, the system divides the data into multiple segments based on intersection-specific standard levels, allowing for more accurate determination of unexpectedness prediction sensitivity by comparing actual driving operations against appropriate reference standards for each intersection type.
2Adaptability or versatility
If the standard driving operation level varies for each temporary stop intersection according to visibility and traffic volume, then the determination adapts to different conditions, but the variation in vehicle velocity data increases
Solution Approach 1:
The patent applies local quality by establishing distinct standard driving operation levels for different temporary stop intersections based on their specific characteristics such as visibility and traffic volume. Each intersection receives a standardized reference level appropriate to its local conditions, allowing the system to adapt to varying intersection environments while maintaining consistent evaluation criteria within each group.
Data Source
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AI summary
An unexpectedness prediction sensitivity determining apparatus (2) determines, for each of temporary stop intersections, a standard driving operation level of a driver when entering the each of temporary stop intersections, based on intersection travel information received from plural vehicles C. Subsequently, the unexpectedness prediction sensitivity determining apparatus (2) determines the unexpectedness prediction sensitivity of the driver when entering the temporary stop intersection based on the intersection travel information associated with the temporary stop intersections where determined standard driving operation levels of the drivers are identical to one another.