Communication Quality Estimation for Remote Driving Assistance
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Solution Overview
Problem
Existing remote-type automatic driving systems fail to account for situations where necessary communication quality cannot be maintained, leading to potential safety and comfort issues due to degraded vehicle control.
Innovation Solution
A communication management device estimates communication quality between a control device and a driving assistance device at scheduled times and notifies the driving assistance device when the quality falls outside a standard range, allowing for adjustments in the driving assistance service to maintain suitable control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If remote-type automatic driving service is provided via communication network, then driving assistance service can be provided remotely, but stability of vehicle control is lowered when communication quality is not maintained
Solution Approach 1:
The system performs preliminary estimation of communication quality for scheduled paths before the moving object actually travels. By predicting communication quality in advance and notifying operators of potential degradation, the system allows preparatory actions to be taken, preventing control instability before it occurs.
Solution Approach 2:
The system establishes a feedback loop by continuously estimating communication quality and notifying the driving assistance device when quality falls outside standard ranges. This enables real-time adjustments to be made to maintain reliable vehicle control despite varying communication conditions.
2Reliability
If path is set to avoid areas with low communication quality, then communication quality requirements are met, but necessary communication quality cannot be obtained when quality changes in accordance with circumstances
Solution Approach 1:
Instead of using a static path planning approach, the system dynamically estimates communication quality based on current circumstances and scheduled paths. The notification mechanism adapts to changing communication conditions by providing real-time quality assessments, enabling the system to respond flexibly to varying communication environments.
Solution Approach 2:
The system performs preliminary communication quality estimation for scheduled paths before the moving object travels. This advance prediction allows the system to prepare for potential communication quality issues and notify operators in advance, rather than merely reacting to quality changes after they occur.
3Reliability
If communication quality estimation and notification system is implemented, then appropriate control can be realized in accordance with communication quality, but device complexity increases
Solution Approach 1:
The communication management device serves as an intermediary between the moving object and the driving assistance device. It performs communication quality estimation and notification functions independently, simplifying the overall system architecture by centralizing communication management rather than distributing complexity across multiple components.
Data Source
AI summary
A communication management device (10) estimates communication quality between a control device (30) mounted on a moving object (70) and a driving assistance device (20) to provide a driving assistance service for the control device (30), at a scheduled time when the moving object (70) passes through a communication area, which includes a scheduled path where the moving object (70) passes. The communication management device (10) notifies the driving assistance device (20) when the communication quality is outside a range of quality being a standard. When it is notified, the driving assistance device (20) changes the driving assistance service to be provided for the control device (30).


