Transport Task Scoring for Fair Multi-Service Fleet Allocation
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Solution Overview
Problem
Existing transport systems face challenges in prioritizing important transport tasks while maintaining fair allocation and fulfillment rates across multiple sub-systems, particularly when vehicle resources are shared among different transport sub-systems such as food, parcel, and person transport, leading to potential neglect of less profitable sub-systems.
Innovation Solution
A method and device for controlling a transport system that adjusts scores for each transport task category based on allocation and fulfillment rates, using a score adjustment vector to maximize gain while ensuring minimum allocation and fulfillment rates, employing online learning and simulation frameworks to dynamically adjust priorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transport tasks are prioritized based on importance and profit scores, then important tasks (e.g., food transport) are fulfilled with high priority, but less profitable sub-systems (e.g., parcel transport) may be neglected and fail to meet minimum allocation rates
Solution Approach 1:
The patent changes the parameter of task scoring by introducing dynamic score adjustments based on sub-system performance metrics. The score adjustment value is computed by comparing actual allocation/fulfillment rates against target rates, and this adjustment is applied to the base profit score to generate a final prioritization score that balances profitability with minimum service level requirements
Solution Approach 2:
The system implements feedback loops where the actual allocation rate and fulfillment rate of each transport sub-system are continuously monitored and fed back into the score calculation. This feedback mechanism allows the system to automatically adjust priorities to ensure minimum performance thresholds are met while still optimizing for overall productivity
2Productivity
If vehicle resources are shared among multiple transport sub-systems (food, parcel, person), then resource utilization efficiency is improved, but it becomes difficult to guarantee minimum allocation and fulfillment rates for each sub-system
Solution Approach 1:
The patent creates a universal control framework that manages multiple transport sub-systems through a single score-based prioritization mechanism. The same scoring and allocation algorithm is applied universally across food, parcel, and person transport sub-systems, allowing diverse transport tasks to be managed through a unified system that optimizes overall resource utilization while respecting sub-system specific requirements
Solution Approach 2:
The system uses parameter changes in the score adjustment values to dynamically balance resource allocation across sub-systems. By adjusting the score adjustment values based on current system state and target allocation rates, the system can flexibly respond to changing conditions while maintaining control over shared resources
3Productivity
If transport tasks are prioritized solely by profit scores, then overall gain is maximized, but allocation rates and fulfillment rates for specific transport task categories may fall below predetermined minimums
Solution Approach 1:
The patent transforms the scoring parameter from a static profit-based metric to a dynamic adjusted score that incorporates performance feedback. The score adjustment value is computed based on the difference between actual and target allocation/fulfillment rates, and this adjustment is added to the base profit score to create a final score that reflects both profitability and service level compliance
Solution Approach 2:
The system implements feedback mechanisms where the actual performance metrics (allocation rate and fulfillment rate) of each transport task category are continuously monitored and used to adjust the scoring parameters. This feedback ensures that the prioritization mechanism adapts to maintain minimum performance thresholds while optimizing overall gain
Data Source
AI summary
Aspects concern a. method for controlling a transport system comprising determining, for first score adjustment vectors, allocation rates, fulfilment rates and gains of fulfilled predetermined transport tasks. The method further comprises determining a second score adjustment vector from the allocation rates, fulfilment rates and gains determined for the first score adjustment vectors by estimating the second score adjustment vector to maximize a gain of fulfilled requested transport tasks subject to a predetermined minimum allocation rate of requested, transport tasks of each transport task category and a predetermined minimum fulfilment rate of requested transport tasks of each transport task category. Additionally, the method comprises controlling the transport system to perform transport tasks of a set of requested transport tasks by determining scores for each requested transport task, adjusting the scores of each transport task according to the second score adjustment vector and prioritizing requested transport tasks depending on their adjusted scores.