Measurement Mobility Speed Control for Poor Road Surface Detection
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Solution Overview
Problem
Existing road surface condition estimating devices face challenges in accurately detecting road surface conditions, particularly in areas with poor visibility or rough surfaces, leading to reduced detection accuracy.
Innovation Solution
An operation management system that includes a computer managing registered mobilities, which transmits a speed change command to measurement mobilities traveling through detail detection areas, reducing their speed to enhance the recognition time of surroundings monitoring devices and minimize shaking due to uneven road surfaces, thereby improving detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the measurement mobility travels at normal command speed by automated driving, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The system dynamically adjusts the traveling speed of the measurement mobility based on the detected road surface condition. When poor road surfaces are detected, the speed is automatically reduced to enhance detection accuracy. This dynamic speed adjustment resolves the contradiction by making the speed variable rather than fixed, allowing the system to optimize both productivity and measurement precision under different conditions.
Solution Approach 2:
The system changes the speed parameter of the measurement mobility according to the road surface conditions. By adjusting this key parameter based on real-time detection data, the system can maintain high productivity on good roads while ensuring accurate measurement on poor roads, thus resolving the contradiction between speed and detection accuracy.
2Productivity
If the measurement mobility travels at higher speed, then productivity is improved, but reliability of detection deteriorates
Solution Approach 1:
The system implements dynamic speed adjustment where the traveling speed is continuously adapted based on road surface conditions. This dynamic approach ensures that detection reliability is maintained by reducing speed only when necessary (on poor road surfaces), while maintaining high speed on good surfaces to preserve productivity.
Solution Approach 2:
The system uses feedback from the surroundings monitoring device to continuously monitor road surface conditions and adjusts the traveling speed accordingly. This closed-loop control ensures that detection reliability is maintained by responding to actual road conditions, resolving the contradiction between speed and reliability.
3Productivity
If the measurement mobility travels at normal speed, then productivity is improved, but detection accuracy in poor detection areas deteriorates
Solution Approach 1:
The system performs preliminary detection of road surface conditions and identifies poor detection areas in advance. By knowing which areas have poor detection quality beforehand, the system can proactively reduce speed in those specific areas to improve measurement precision, while maintaining normal speed in other areas to preserve overall productivity.
Solution Approach 2:
The system applies different speed adjustments to different spatial locations based on local road surface conditions. Instead of uniformly reducing speed across the entire route, the system only reduces speed in specific poor detection areas, thereby maintaining high productivity in good areas while improving detection accuracy in problematic areas.
Data Source
AI summary
An operation management system including a computer configured to manage operations of registered mobilities. The computer stores road surface information in association with a position in map data based on at least a detection result of a surroundings monitoring device and positional information received from a measurement mobility. The computer stores, as a detail detection area, at least one of a poor detection area in the map data in which detection of the road surface information by the measurement mobility is poor and a predetermined area in the map data. The computer transmits, to the measurement mobility that is scheduled to travel or that is traveling the detail detection area, a speed change command, such that the measurement mobility, which travels at a normal command speed by automated driving, travels the detail detection area at a specific speed lower than the normal command speed.