Remote Driving Task Segmentation for Driver Handover Fulfillment
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Solution Overview
Problem
Remote driving requests often go unfulfilled due to a lack of available remote drivers capable of executing the requested tasks from start to finish point.
Innovation Solution
A remote driving request processing device that receives and divides remote driving tasks based on route information, allowing multiple remote driving tasks to be assigned to different remote drivers, thereby increasing the likelihood of task fulfillment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a remote driving task is assigned as a single complete task from start point to finish point, then the task can be executed by one remote driver, but the likelihood of the request being unfulfilled increases when no remote driver is available for the entire route
Solution Approach 1:
The patent divides a complete remote driving task from start point to finish point into multiple sub-tasks based on route information. Each sub-task corresponds to a specific segment of the route and can be independently assigned to different remote drivers. This segmentation increases the likelihood of fulfillment because drivers are more likely to accept shorter, more manageable sub-tasks rather than committing to entire routes.
2Productivity
If remote driving tasks are divided into multiple smaller tasks, then the likelihood of task fulfillment increases, but the system complexity increases due to task division and coordination requirements
Solution Approach 1:
The task division section automatically segments complete tasks into smaller sub-tasks based on route characteristics, driver availability, and task requirements. This automated segmentation reduces the manual coordination burden while maintaining high fulfillment rates through flexible sub-task assignment.
Solution Approach 2:
The patent introduces a task division section as an intermediary component that acts as a mediator between task requesters and remote drivers. This intermediary automatically divides tasks, matches sub-tasks with available drivers, and coordinates handovers, thereby managing system complexity while maximizing productivity.
3Ease of operation
If remote driving tasks are divided based on route information, then the burden on individual remote drivers is reduced, but the need for coordination and handover between drivers increases
Solution Approach 1:
By dividing long-distance tasks into shorter sub-tasks based on route information such as distance, road conditions, and stopping facilities, the patent reduces the operational burden on individual drivers. Each driver handles only a manageable segment rather than entire routes, improving ease of operation.
Solution Approach 2:
The system performs preliminary actions by pre-dividing tasks into sub-tasks and pre-identifying potential handover points based on route characteristics before drivers begin execution. This preliminary structuring reduces coordination complexity during actual task execution by establishing clear handover protocols in advance.
Data Source
AI summary
The likelihood of a remote driving request from a requester being unfulfilled is lowered. A server receives information regarding the remote driving request requesting a vehicle to travel by being remotely driven from a terminal of the requester, and receives information regarding a remote driving task selected by a remote driver (fulfilment agent) using a fulfilment agent operation terminal from the fulfilment agent operation terminal. A task corresponding to the received remote driving request is divided into plural remote driving tasks based on route information for the task, and information regarding at least one of the divided remote driving tasks is transmitted to the fulfilment agent operation terminal.