Deceleration End Location Storage for Adaptive Drive Assist
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Solution Overview
Problem
Existing drive assist systems fail to provide consistent deceleration assistance on roads with varying traffic conditions, leading to irregular decelerating actions due to disturbances like heavy traffic, which affects the accuracy of deceleration control and learning data.
Innovation Solution
A deceleration end location storage system that detects and specifies deceleration end locations, stores them based on a predetermined range set according to road type, and uses this data to set a deceleration end target location for appropriate drive assistance, ensuring consistent deceleration and eliminating irregular actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If deceleration end locations are stored using fixed learning data from travel history, then drive assistance can be provided based on past timing, but the system cannot adapt to varying traffic conditions causing inconsistent deceleration patterns
Solution Approach 1:
The patent applies dynamics by making the predetermined range variable rather than fixed. The range is dynamically adjusted based on road type (expressway, general road, arterial road) to accommodate varying traffic conditions. This allows the system to adapt its learning parameters to match the specific traffic environment, resolving the contradiction between adaptability and consistency.
Solution Approach 2:
The patent implements local quality by applying different predetermined ranges for different road types. Each road type (expressway, general road, arterial road) has its own optimized range, allowing the system to treat different locations with appropriate local characteristics rather than using a uniform approach throughout.
2Adaptability or versatility
If the predetermined range for storing deceleration end locations is made large to cover varying traffic conditions, then more variations are accepted, but measurement precision of deceleration end location decreases
Solution Approach 1:
The patent resolves this contradiction by applying different predetermined ranges for different road types. Expressways use a smaller range (±50m) for higher precision, while arterial roads use a larger range (±150m) for greater adaptability. This local differentiation allows each road type to have optimal precision-adaptability balance.
Solution Approach 2:
The patent changes the parameter of predetermined range based on road type classification. By adjusting this key parameter according to the specific road environment, the system achieves both precision where needed (expressways) and adaptability where required (arterial roads with heavy traffic variations).
Data Source
AI summary
There are provided a deceleration end location storage system that can appropriately store a deceleration end location at which a vehicle ends deceleration in decelerating action even for a road on which the content of the decelerating action tends to vary because of a disturbance such as a road with a large amount of traffic, and a drive assist system, a drive assist method, and a computer program that can provide appropriate drive assistance for a vehicle on the basis of stored deceleration end locations. In the case where a vehicle performs decelerating action, a deceleration end location at which the vehicle ends deceleration in the decelerating action is specified. A variation range that matches the road type of a road on which the deceleration end location is provided is set. In the case where learning data stored in a learning DB 32 already include learning data for a different deceleration end location provided within the variation range set from the present deceleration end location, such deceleration end locations are stored as learning data for the same deceleration end location.