Driving-State Data Storage via Road Segmentation
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Solution Overview
Problem
Cruise-assist systems face accuracy issues in storing and utilizing driving-state data due to varying values of driving-state data items across different sections of a road, leading to deteriorated control information and energy efficiency when assisting vehicles.
Innovation Solution
A driving-state data storage apparatus that divides a target traveling road into segments based on similar driving-state data values, extracts and allocates data values for each segment, and stores the feature distribution of these segments to improve data accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If driving-state data is stored for each road link as a whole, then data storage is simplified, but measurement precision deteriorates because driving-state values vary significantly within road links (e.g., speed changes drastically before intersections)
Solution Approach 1:
The patent divides each road link into multiple traveling segments based on similarity of driving-state data values. This segmentation allows the system to store control information at the segment level rather than the entire road link level, thereby improving measurement precision while maintaining a manageable storage structure through systematic organization of segmented data.
Solution Approach 2:
The patent applies local quality by creating segments with homogeneous driving-state characteristics within each road link. Each segment is characterized by similar driving-state values (e.g., speed, acceleration), allowing control information to be tailored to local conditions rather than applying uniform control strategies across entire road links with varying conditions.
2Device complexity
If control information is obtained assuming constant driving-state data in each road link, then processing is simplified, but reliability deteriorates due to the actual variability of driving-state values within road links
Solution Approach 1:
The patent segments road links into traveling segments with relatively constant driving-state characteristics. This segmentation maintains processing simplicity by creating discrete, manageable units while improving reliability by ensuring that control information is derived from segments where driving-state values are actually more uniform, rather than assuming uniformity across entire variable road links.
Solution Approach 2:
The patent applies partial action by focusing control information generation on representative segments rather than processing entire road links. By selecting and processing only the necessary segments that capture the essential driving-state characteristics, the system achieves reliable control information without the excessive complexity of processing all possible variations within each road link.
Data Source
AI summary
In a driving-state data storage apparatus, a collector collects, from each of vehicles on a target travelling road, a value of data indicative of a driving state of the corresponding vehicle to correspondingly obtain driving-state data values for the target road. A data allocator divides, based on similarity among the driving-state data values, the target traveling road into a plurality of traveling segments, and extracts, from the driving-state data values, data values for each of the divided travelling segments. The data values extracted for each of the travelling segments are similar to each other. The data allocator allocates a distribution of the extracted data values for each of the divided travelling segments to the corresponding one of the divided travelling segments as a feature distribution. A storage unit stores the feature distribution allocated for each of the travelling segments.