Multi-Moving-Body Route Control Using Adaptive Delay Models
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Solution Overview
Problem
Existing systems fail to efficiently manage the movement of multiple moving bodies when deviations occur between scheduled and actual delay times, particularly in environments with obstacles and varying delay times, leading to inefficient navigation.
Innovation Solution
A control method that updates movement plans based on actual delay times and current locations, using a model that adjusts for stochastic delay times, ensuring efficient navigation even when deviations occur.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a preset travel route is used without updating based on actual delay times, then the control system is simple and easy to operate, but the moving bodies cannot be efficiently moved when deviations occur between scheduled and actual delay times
Solution Approach 1:
The control device acquires actual delay times of moving bodies in each passageway and uses this feedback information to update the delay time model and regenerate movement plans. This closed-loop feedback mechanism enables the system to adapt to real-world deviations while maintaining operational efficiency.
Solution Approach 2:
The movement plan is dynamically updated based on current locations and actual delay times rather than following a static preset route. The system transitions from a fixed control approach to a dynamic one that adapts in real-time to improve productivity.
2Productivity
If the travel route is updated frequently based on actual delay times, then the movement efficiency is improved, but the computation time and control complexity increase
Solution Approach 1:
The system updates movement plans partially rather than completely regenerating all routes. It focuses computation on affected passageways and moving bodies, updating only the necessary portions of the movement plan to reduce computation time while maintaining efficiency improvements.
Solution Approach 2:
The delay time model is built and updated in advance based on accumulated actual delay data, allowing the system to prepare optimized movement plans before actual deviations occur. This preliminary modeling reduces real-time computation requirements.
3Adaptability or versatility
If a static delay time model is used, then the control system is simple, but it cannot adapt to stochastic variations in actual delay times
Solution Approach 1:
The delay time model is updated using feedback from actual delay times observed in each passageway. This allows the model to adapt to stochastic variations while maintaining a relatively simple structure that builds upon the existing delay time framework.
Solution Approach 2:
The system changes the parameters of the delay time model based on actual observations, transforming a static model into an adaptive one. This allows the model to capture stochastic variations without requiring a complete redesign of the control system.
Data Source
AI summary
A control method in a control device that controls movement of a plurality of moving bodies includes: moving the plurality of moving bodies in accordance with movement plans that have been predetermined and defining one or more passageways where each of the plurality of moving bodies passes from a departure place to a destination; acquiring an actual delay time that is a delay time of each of the plurality of moving bodies, the delay time being generated in each of the one or more passageways; updating a model representing a length of the delay time defined for each of the one or more passageways using the actual delay time in a corresponding passageway among the one or more passageways; acquiring a current location of each of the plurality of moving bodies; and updating each of the movement plans based on the updated model, the destination, and the current location.