Remote Vehicular Support Scheduling for Simultaneous Requests
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Solution Overview
Problem
Existing remote support systems for autonomous vehicles struggle to efficiently process multiple requests for remote support issued simultaneously, leading to a burden on operators and inefficiencies in support delivery.
Innovation Solution
A remote support server that organizes multiple vehicles requesting remote support into groups based on map information, position, and traveling direction, and determines a support order for each group to efficiently allocate support resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple requests for remote support are processed individually by operators, then each request receives dedicated attention, but the burden on operators increases and processing efficiency decreases
Solution Approach 1:
The patent groups multiple vehicles requiring remote support into clusters based on their spatial proximity and temporal coincidence of requests. By merging the processing of multiple individual requests into a single grouped operation, the system reduces the number of separate operator interventions needed, thereby decreasing operator burden while maintaining effective support delivery.
Solution Approach 2:
The patent segments the fleet of vehicles into distinct groups based on their geographic locations and request timing. This segmentation allows operators to handle groups rather than individual vehicles, improving productivity by processing multiple requests simultaneously while still providing targeted support to each vehicle within the group.
2Reliability
If remote support is provided for each vehicle individually, then support quality is maintained, but the system cannot efficiently handle multiple simultaneous requests
Solution Approach 1:
The patent combines multiple vehicle support requests into unified groups that are processed together. This merging approach maintains support quality by ensuring each vehicle within a group receives appropriate attention, while simultaneously increasing the system's overall handling capacity by reducing the number of separate processing operations required.
Solution Approach 2:
The patent dynamically adjusts the grouping of vehicles based on real-time conditions such as spatial proximity, request timing, and support priorities. This dynamic segmentation allows the system to adaptively optimize both support quality and processing capacity by forming groups that balance these competing requirements.
3Ease of operation
If operators process requests in strict sequential order, then fairness is maintained, but the response time for urgent requests increases
Solution Approach 1:
The patent implements dynamic prioritization within vehicle groups, allowing the system to adjust processing order based on urgency indicators and support priorities. This dynamic approach maintains fairness by considering all requests while reducing response time for urgent cases by processing them earlier within the grouped structure.
Solution Approach 2:
The patent performs preliminary classification and prioritization of vehicles within groups before operator intervention. By pre-organizing vehicles based on urgency and priority metrics, the system prepares the groundwork for efficient processing, ensuring that urgent requests are addressed first while maintaining an orderly processing sequence.
Data Source
AI summary
A processor performs a mediation process of mediating remote support of at least one vehicle when receiving a request for remote support from the at least one vehicle. In the mediation process, at least two vehicles are organized into at least one group based on map information and position and traveling direction information of the at least two vehicles when requests for remote support from the at least two vehicles have been received in the same time period. The support order of the vehicles in the at least one group is determined for each group based on the map information and the position and traveling direction information of the at least two vehicles. The surrounding image information of the corresponding vehicle is transmitted to at least one support device that performs remote support of the vehicles organized into the at least one group in the support order.