Remote Vehicle Control Commands for Predicted QoS Drops
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Solution Overview
Problem
Existing remote driving systems face challenges in maintaining communication link quality, leading to insufficient delivery of driving commands, which can result in deadlock situations when the quality of service (QoS) fluctuates, causing vehicles to become unable to receive critical commands and thus unable to resolve situations autonomously.
Innovation Solution
The proposed method involves predicting the QoS and adjusting the effective length and timing of driving commands to ensure they are delivered before the communication link becomes insufficient, allowing the vehicle to navigate through situations with reduced QoS and avoid deadlock situations by adapting the range and timing of the commands based on predicted QoS changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If driving commands are transmitted via a communication link subject to QoS fluctuations, then remote driving control is enabled, but the vehicle may be unable to receive critical commands when QoS drops, leading to deadlock situations
Solution Approach 1:
The system performs preliminary actions by providing the vehicle with multiple driving commands in advance before QoS degradation occurs. The remote control center transmits a sequence of commands (e.g., 3-5 commands) ahead of time so that the vehicle has a buffer of valid commands to execute when communication quality drops, preventing deadlock situations.
Solution Approach 2:
The system dynamically adapts the number of driving commands provided to the vehicle based on real-time QoS conditions. When QoS is good, fewer commands are needed; when QoS degrades, the system increases the number of pre-transmitted commands. This dynamic adjustment optimizes both communication efficiency and command delivery reliability.
2Reliability
If the effective length of driving commands is extended to cover QoS degradation periods, then the vehicle can navigate through insufficient QoS periods, but the timing and range adaptation increases system complexity
Solution Approach 1:
The system changes key parameters of driving commands including effective length (how far ahead the command is valid), start time (when the command becomes effective), and range (spatial or temporal validity). By dynamically adjusting these parameters based on QoS predictions, the system ensures continuous command validity without requiring complex retransmission protocols or acknowledgment mechanisms.
3Reliability
If driving commands are provided in advance before QoS becomes insufficient, then the vehicle receives commands reliably, but the timing precision required increases to ensure commands are valid during the QoS degradation window
Solution Approach 1:
The system transmits driving commands in advance with predetermined timing so that at least one command remains valid and executable during the QoS degradation period. By calculating the expected QoS degradation window and providing commands before this period, the system eliminates the need for real-time timing synchronization during communication failures.
Solution Approach 2:
The system dynamically adjusts the timing parameters of driving commands based on predicted QoS degradation patterns. Instead of using fixed timing intervals, the system adapts command issuance timing to match anticipated communication quality changes, reducing the precision requirements for command execution during QoS fluctuations.
Data Source
AI summary
Technologies and techniques for a remote control center and for operating a vehicle from remote. Information is obtained on a pQoS of a communication link between the remote control center and the vehicle. At least one driving command is then provided to the vehicle via the communication link and a range of the at least one driving command is adapted, based on the information on the pQoS.