Autonomous Vehicle Communication Loss Control for Remote Assistance
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Solution Overview
Problem
Existing remote monitoring systems for autonomous vehicles stop the vehicle every time communication with the remote monitoring center is disconnected, leading to reduced continuity of autonomous driving assistance services and increased costs due to frequent notifications of local staff.
Innovation Solution
A management system that includes a vehicle side device and a center side device, which determine whether to continue autonomous traveling and notify assistants based on communication situation information, allowing the vehicle to continue if disconnected communication is expected to be restored within a predetermined period, and only notifying assistants when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle stops every time communication is disconnected, then safety and monitoring reliability are improved, but service continuity and operational efficiency deteriorate
Solution Approach 1:
The system changes the parameter of communication disconnection response from a binary stop/go decision to a time-based decision. By introducing the expected period threshold parameter, the system allows vehicles to continue traveling when disconnection is expected to be brief, while stopping only when disconnection persists beyond the threshold. This resolves the contradiction by making the stop decision conditional on time duration rather than immediate, thereby maintaining service continuity while preserving monitoring reliability for significant disconnections.
Solution Approach 2:
The system dynamically adjusts the vehicle's operational state based on real-time communication status and historical data. Rather than a static stop-all-disconnections policy, the system continuously evaluates whether communication disconnection is temporary or persistent using the expected period calculation. This dynamic approach allows the vehicle to adapt its behavior (continue or stop) based on current conditions, resolving the contradiction between maintaining continuous operation and ensuring reliable monitoring.
2Productivity
If the vehicle continues traveling during communication disconnection, then service continuity is improved, but safety monitoring and control reliability deteriorate
Solution Approach 1:
The system introduces a time threshold parameter (expected period) that determines when communication disconnection transitions from acceptable to critical. By changing the response parameter from immediate stopping to time-conditioned stopping, the system maintains service continuity for brief disconnections while ensuring monitoring reliability is restored for persistent disconnections beyond the threshold period.
Solution Approach 2:
The system implements feedback by continuously monitoring communication status and using historical communication data to calculate the expected period of disconnection. This feedback mechanism allows the system to make informed decisions about whether to continue or stop traveling, balancing service continuity with monitoring reliability based on real-time and historical communication patterns.
3Reliability
If assistants are notified frequently for every communication disconnection, then monitoring reliability is improved, but operational costs and system complexity increase
Solution Approach 1:
The system changes the notification trigger parameter from every communication disconnection event to only persistent disconnection events exceeding the expected period threshold. This parameter change filters out transient disconnections that would trigger unnecessary notifications, thereby reducing notification system complexity and operational costs while maintaining monitoring reliability for significant issues.
Solution Approach 2:
The system extracts and filters out temporary communication disconnections from the notification process. By calculating the expected period and comparing it against the threshold, the system separates transient disconnections (which don't require notification) from persistent disconnections (which do require notification). This extraction approach reduces unnecessary notifications and simplifies the notification system while preserving monitoring reliability for critical cases.
Data Source
AI summary
A management system is provided in which an autonomous driving assistance center periodically communicates with an autonomous vehicle to manage a vehicle state of the autonomous vehicle. The system includes a vehicle side device provided to the autonomous vehicle and including a vehicle side determination unit that determines, when communication with the autonomous driving assistance center is disconnected, whether to continue autonomous traveling, based on communication situation information that indicates a situation of communication between the autonomous driving assistance center and the autonomous vehicle at each place, where the autonomous vehicle is allowed to travel, in a management target area of the management system, and a center side device provided to the autonomous driving assistance center and including a center side determination unit that determines, when the communication with the autonomous vehicle is disconnected, whether to notify an assistant assisting the autonomous vehicle, based on the communication situation information.