Controller for Vehicle Article Loading Optimization
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Solution Overview
Problem
Current technologies for freight and passenger consolidation do not efficiently manage the transport of articles, lacking effective methods to determine suitable loading times and vehicle space utilization.
Innovation Solution
An information processing apparatus and method that acquire scheduled loading times, predicted passenger numbers, and determine vehicle space availability to optimize article transport by selecting appropriate users and adjusting passenger loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If articles are loaded onto vehicles without considering passenger numbers, then loading operations can be performed简单地, but vehicle space may be insufficient and transport efficiency deteriorates
Solution Approach 1:
The system performs preliminary determination of vehicle space availability by acquiring predicted passenger numbers before article loading. The controller determines whether vehicles have sufficient space for articles based on predicted passenger counts at scheduled loading times, allowing advance planning and optimization of both passenger and article transport.
Solution Approach 2:
The system implements feedback by continuously acquiring actual passenger numbers and comparing them with predicted values. This feedback loop enables the system to improve the accuracy of predicted passenger numbers over time, leading to better space utilization decisions for article transport.
2Productivity
If vehicle space is optimized for articles, then article transport efficiency improves, but passenger transport capacity may be reduced
Solution Approach 1:
The system dynamically adjusts article loading decisions based on predicted passenger numbers. When predicted passenger numbers are low, vehicles can accommodate more articles; when predicted passenger numbers are high, article loading is reduced or eliminated. This dynamic optimization ensures that each vehicle's capacity is allocated efficiently between passengers and articles based on actual demand.
3Productivity
If predicted passenger numbers are used for space determination, then transport optimization improves, but prediction accuracy may be insufficient leading to wrong decisions
Solution Approach 1:
The system improves prediction accuracy by implementing a feedback mechanism that acquires actual passenger numbers and uses them to refine future predictions. The controller continuously updates predicted passenger numbers based on the difference between actual and predicted values, enabling the system to learn from past performance and improve decision-making over time.
Solution Approach 2:
The system performs preliminary determination of space availability using predicted passenger numbers before actual loading occurs. This allows the system to make advance decisions about article loading while having a baseline prediction to work with, and then refine these decisions as actual passenger numbers become available.
Data Source
AI summary
An information processing apparatus includes a controller. The controller is configured to acquire information on a scheduled time for loading an article onto a vehicle. The controller is configured to acquire a predicted number of passengers on the vehicle at the scheduled time. The controller is configured to determine whether the vehicle has space for the article at the scheduled time.