Road Surface Roughness Evaluation Using Multi-Vehicle Speed Segmentation
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Solution Overview
Problem
Existing road surface evaluation methods based on acceleration measurements from a single vehicle are insufficient as they vary with driving speed, failing to provide a comprehensive evaluation of road surface profiles.
Innovation Solution
A road surface evaluation apparatus that acquires driving information from multiple vehicles, including acceleration, speed, and position data, to derive and correct road surface roughness values for each speed range, allowing for a comprehensive and accurate evaluation of road surface profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If road surface profile is detected based on acceleration measured by acceleration sensor in a single vehicle, then the detection method is simple, but the evaluation accuracy varies with driving speed and is insufficient
Solution Approach 1:
The patent segments the road surface evaluation by dividing it into multiple speed ranges (e.g., low speed range, medium speed range, high speed range). For each speed range, separate roughness values are derived from acceleration measurements taken by vehicles traveling at corresponding speeds. This segmentation allows the system to account for speed-dependent variations in acceleration measurements while maintaining a relatively simple detection method using existing vehicle sensors.
2Measurement precision
If road surface roughness values are derived for each speed range from multiple vehicles, then the evaluation accuracy is improved, but the system complexity increases
Solution Approach 1:
The patent makes ordinary vehicles serve multiple functions: they not only transport passengers or goods but also function as mobile measurement devices for road surface evaluation. By utilizing acceleration sensors and speed sensors already installed in regular vehicles for both navigation/control purposes and road surface measurement, the system achieves high evaluation accuracy without requiring specialized measurement vehicles or additional complex measurement equipment.
Solution Approach 2:
The system uses the vehicles' own acceleration sensors and speed sensors to measure road surface characteristics. The vehicles essentially evaluate the road surface they are traveling on using their built-in sensors, eliminating the need for external measurement equipment. This self-service approach reduces system complexity while maintaining measurement precision.
3Reliability
If acceleration data from multiple vehicles is collected and processed, then comprehensive road surface evaluation is achieved, but data processing complexity increases
Solution Approach 1:
The data processing is segmented by speed ranges, where acceleration data from multiple vehicles is grouped according to their traveling speeds. For each speed range segment, roughness values are independently derived and then combined. This segmented processing approach makes the overall data processing more manageable and systematic while achieving comprehensive and reliable road surface evaluation across all speed conditions.
Data Source
AI summary
A road surface evaluation apparatus includes a microprocessor configured to perform: acquiring driving information of a plurality of vehicles which are traveling, including acceleration information, speed information, and position information; acquiring map information including information of a road on which the plurality of vehicles travel; deriving a road surface roughness value representing a roughness of a road surface on which the plurality of vehicles travel for each speed range based on the acquired driving information of each of the plurality of vehicles; correcting, for each speed range, the road surface roughness values derived for each speed range, and combining the road surface roughness values corrected for each speed range to derive a corrected road surface roughness value; and outputting the corrected road surface roughness value in association with the information of the road.