Autonomous Vehicle Operation Plan Correction for Non-Operation Delays
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Solution Overview
Problem
Existing vehicle operation plans are often delayed due to unpredictable changes in road conditions, leading to inefficiencies in service provision and increased time spent in non-operation zones.
Innovation Solution
An information processing apparatus and method that corrects vehicle operation plans by omitting or reducing preparation tasks in non-operation zones based on predetermined conditions when delays occur, using a control server to manage and update schedules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle executes all preparation tasks in the non-operation zone as planned, then the service quality is maintained, but the time spent in the non-operation zone increases, causing operation delays
Solution Approach 1:
The system executes only necessary preparation tasks based on actual vehicle status and operational needs. When the vehicle enters the non-operation zone, the controller evaluates which preparation tasks (charging, cleaning, etc.) are truly required and executes only those, rather than following the original plan rigidly. This partial execution reduces time spent in the non-operation zone while maintaining essential service quality.
Solution Approach 2:
The preparation task execution plan is made dynamic and adaptable. The controller continuously monitors vehicle status, operational delays, and task completion states, then adjusts the execution plan in real-time. This dynamic adjustment allows the system to optimize the balance between service quality maintenance and minimizing non-operation time based on current conditions.
2Productivity
If the vehicle reduces preparation tasks in the non-operation zone to save time, then operation delays are reduced, but service quality may deteriorate
Solution Approach 1:
The system implements feedback mechanisms where the controller continuously monitors vehicle status (charge level, cleaning status, task completion) and compares it against service quality requirements. This feedback loop enables the controller to make informed decisions about which preparation tasks to execute or skip, ensuring that service quality thresholds are maintained while optimizing operation efficiency.
Solution Approach 2:
The system changes the execution parameters of preparation tasks based on real-time conditions. Instead of fixed task execution, the controller adjusts task priority, execution timing, and completion thresholds dynamically. For example, if the vehicle is already sufficiently charged or clean, the system modifies the parameter to skip or reduce the intensity of those tasks, maintaining service quality while improving productivity.
3Stability of the object's composition
If the vehicle follows the predetermined operation plan strictly, then service delivery is systematic, but delays accumulate due to changing road conditions
Solution Approach 1:
The operation plan transitions from a static predetermined sequence to a dynamic adaptive framework. The controller continuously evaluates actual road conditions, vehicle status, and task progress, then adjusts the execution plan accordingly. This maintains the systematic structure of the operation plan while enabling real-time adaptation to changing conditions, preventing delay accumulation.
Solution Approach 2:
The system enables the vehicle to self-adjust its operation plan based on monitored conditions. The controller autonomously evaluates whether to execute, skip, or modify preparation tasks without external intervention, allowing the vehicle to adapt to road conditions and operational delays independently while maintaining overall service delivery structure.
Data Source
AI summary
An information processing apparatus, comprises a controller configured to execute: issuing a first command to a first vehicle that is an autonomous driving vehicle, based on a predetermined operation plan that includes an operation zone for providing a predetermined service, and a non-operation zone for executing one or more preparation tasks; correcting an execution plan of the one or more preparation tasks included in the operation plan, based on a predetermined condition so as to reduce time to be spent in the non-operation zone, if the predetermined operation plan is delayed with respect to the first vehicle entering the non-operation zone from the operation zone; and issuing a second command based on the corrected operation plan.