Vehicle Stop Support System Emergency Driver Abnormality Handling
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Solution Overview
Problem
Current vehicle stop support systems lack the ability to effectively utilize high-accuracy geographic maps and vehicle-mounted cameras to quickly and safely stop a vehicle in emergency situations, potentially increasing the risk of rear-end collisions and complicating rescue operations.
Innovation Solution
A vehicle stop support system that includes an abnormality detection module, target time period setting, candidate detection, required time estimation, risk estimation, and vehicle control to identify and navigate to a safe stop point with minimal rear-end collision risk, considering factors like visible distance and relative speed of following vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the vehicle stops quickly to rescue a driver in emergency condition, then the response time is reduced, but the risk of rear-end collision increases
Solution Approach 1:
The system changes the parameter of stop point selection by evaluating multiple candidates based on required time period and rear-end collision risk. It dynamically adjusts the stopping decision by comparing estimated arrival times against target time periods and assessing collision risks, thereby resolving the contradiction between quick response and safety.
Solution Approach 2:
The system performs preliminary evaluation of multiple stop point candidates before making the final stopping decision. By pre-calculating required time periods and rear-end collision risks for various candidates, the system identifies the optimal stop point that balances speed and safety requirements.
2Object-affected harmful factors
If the vehicle stops at a safe location to avoid rear-end collision, then the safety is improved, but the time required to reach the stop point increases
Solution Approach 1:
The system changes the approach by evaluating multiple stop point candidates with different characteristics. It transforms the single stop point decision into a multi-parameter optimization problem, selecting the candidate that achieves the best balance between safety (low rear-end collision risk) and speed (short required time period).
3Measurement precision
If the system evaluates multiple stop point candidates with different risks, then the stopping accuracy is improved, but the computational complexity increases
Solution Approach 1:
The system segments the stop point selection process into distinct evaluation components: detecting stop point candidates, estimating required time periods for each candidate, and evaluating rear-end collision risks. This segmentation allows for systematic and accurate evaluation while managing computational complexity through modular processing.
Data Source
AI summary
Provided is a vehicle stop support system for supporting vehicle stop in an emergency condition. The vehicle stop support system detects a physical abnormality of a driver; sets a target time period based on the detected abnormality; detects a plurality of stop point candidates in a traveling direction of a vehicle; estimates a time period required to reach each of the candidates; a estimates a rear-end collision risk which is a risk that, when assuming that the vehicle stops at each of the candidates, the vehicle will be rear-ended by a following vehicle; and a sets a stop point, wherein the system is operable to set, as the stop point, one of the candidates which satisfies a condition that the required time period estimated with respect thereto is equal to or less than the target time period and which is lowest in terms of the rear-end collision risk.