Autonomous Vehicle Rescue System for Communication Outages
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Solution Overview
Problem
Autonomous vehicles often become unable to travel due to road damage and communication outages during disasters, making conventional rescue methods ineffective.
Innovation Solution
A system that deploys an autonomous vehicle to assist a stalled vehicle by determining driving difficulties and predicting its location, using advanced sensors and communication modules to navigate through incommunicable areas and provide assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If autonomous vehicles operate in disaster areas with road damage and communication outages, then they can provide essential services, but they become unable to travel and require rescue
Solution Approach 1:
The system performs preliminary actions by predicting the location where the autonomous vehicle will become stalled before it actually happens. The server determines driving difficulty for route segments and predicts the stall location in advance, allowing rescue resources to be prepared and positioned beforehand, thus resolving the contradiction by maintaining reliability through proactive intervention while preserving adaptability to operate in challenging disaster conditions.
2Ease of operation
If conventional rescue methods are used for stalled autonomous vehicles, then rescue operations can be initiated, but they become ineffective in communication outage areas
Solution Approach 1:
The system introduces an intermediary approach where the server acts as a mediator between the stalled autonomous vehicle and the rescue autonomous vehicle. The server predicts the stall location using driving difficulty analysis and communicates this information to the rescue vehicle, enabling effective rescue operations in communication outage areas without requiring direct communication between the stalled vehicle and rescue personnel.
3Speed
If autonomous vehicles navigate through challenging road conditions, then they can reach destination, but they may become stalled beyond their capabilities
Solution Approach 1:
The system implements feedback by continuously monitoring route segments and determining driving difficulty levels. This feedback mechanism allows the server to predict where the autonomous vehicle will become stalled based on its capabilities versus the actual driving conditions, enabling timely intervention before the vehicle becomes stranded, thus maintaining reliability while allowing speed through challenging conditions.
Data Source
AI summary
Aspects of the present invention disclose a method for assisting a stalled autonomous vehicle in an incommunicable area. The method includes one or more processors determining a route of an autonomous vehicle. The method further includes identifying an area of the route of the autonomous vehicle that includes a communication outage. The method further includes determining a driving difficulty of one or more segments of the route of the autonomous vehicle within the area. The method further includes determining a location of the autonomous vehicle within a segment of the one or more segments of the route based at least in part on the driving difficulty of the segment.