Driving Support Apparatus Stop Position Prediction
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Solution Overview
Problem
Conventional driving support apparatuses are inadequate in accurately determining the stopping position at traffic signals when a preceding vehicle is present, leading to shifts in the actual stopping position, thus requiring further improvement for more effective driving support.
Innovation Solution
The driving support apparatus determines a target stop position by calculating the estimated variation distance and correcting the target vehicle speed based on this distance, adjusting the forgetting coefficient according to inter-traffic signal distance and time, and changing it during lane changes or turns, to provide timely and accurate stopping support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the conventional driving support apparatus uses a fixed stop position at the traffic signal, then the stopping control is simple to implement, but the actual stopping position shifts when a preceding vehicle is present, reducing stopping precision
Solution Approach 1:
The system performs preliminary actions by predicting the stop position based on the remaining distance from previous traffic signals and calculating the estimated variation distance before reaching the current traffic signal. This allows the target stop position to be determined in advance with higher precision, accounting for the presence of preceding vehicles without requiring complex real-time adjustments
Solution Approach 2:
The system applies feedback by using the actual remaining distance from the previous traffic signal stop and comparing it with the predicted distance. The forgetting coefficient adjusts the weight of historical data based on inter-traffic signal distance, creating a feedback loop that continuously refines the stop position prediction accuracy without significantly increasing system complexity
2Adaptability or versatility
If the driving support apparatus frequently updates the forgetting coefficient, then the adaptation to changing conditions is improved, but the computational load and system complexity increase
Solution Approach 1:
The system changes parameters by adjusting the forgetting coefficient based on the inter-traffic signal distance. When the distance is long, the forgetting coefficient is reduced to give more weight to historical data, while for short distances, the coefficient is increased for faster adaptation. This parameter change approach enables adaptability to different driving conditions without requiring complex computational models
Solution Approach 2:
The forgetting coefficient is made dynamic rather than fixed, allowing it to vary with driving conditions such as inter-traffic signal distance, lane changes, and turns. This dynamic adjustment enables the system to adapt to changing conditions automatically while maintaining reasonable computational simplicity through rule-based adjustments
Data Source
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AI summary
A driving support apparatus (1) is provided with a support control device (50) configured to calculate, based on a remaining distance from a stop position at which a vehicle (2) stops by stop indication of a first traffic signal located in a travel direction of the vehicle (2) to a point of the first traffic signal, an estimated variation distance for a second traffic signal located in the travel direction of the vehicle (2) after the first traffic signal, and create a target vehicle travel state obtained by changing timing to begin stopping support at the second traffic signal based on the estimated variation distance; and a support device (4) capable of outputting driving support information to support driving of the vehicle (2) based on a target travel state quantity of the vehicle (2).