Vehicle Allocation Support System for Railway Yard Optimization
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Solution Overview
Problem
Current vehicle allocation systems in railway yards fail to consider passenger demand facilities and operational costs effectively, leading to inefficient vehicle allocation and increased costs, especially during peak or off-peak hours and when changes in train diagrams or inspection plans occur.
Innovation Solution
A vehicle allocation support system that integrates demand management, railway traffic management, inspection management, and plan creation systems to select vehicles based on passenger demand, facility requirements, and operational constraints, using a network-connected system to prioritize vehicles that meet passenger needs while minimizing operational costs and influencing changes on shunting, crew, and work plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If vehicle allocation is determined based on inspection plan and required time only, then inspection efficiency is improved, but passenger demand facilities and service quality are not considered
Solution Approach 1:
The patent segments the vehicle allocation decision-making process into multiple independent evaluation dimensions: inspection plan compatibility, passenger demand facility requirements, operational costs, and shunting plan impacts. Each dimension is evaluated separately and then integrated to produce a comprehensive allocation decision, allowing both inspection efficiency and passenger service quality to be optimized simultaneously.
Solution Approach 2:
The patent introduces new evaluation parameters beyond traditional inspection metrics, including passenger demand facilities (catering, baggage space, bicycle space), operational costs by time zone, and shunting plan influence degrees. These parameter changes enable the system to consider both operational efficiency and service quality in vehicle allocation decisions.
2Adaptability or versatility
If vehicle allocation changes are made to respond to train diagram disturbances or inspection delays, then service flexibility is improved, but operational costs and plan disruptions increase
Solution Approach 1:
The patent implements a feedback mechanism that calculates the influence degree on shunting plans, crew plans, and work plans when vehicle allocation changes are made. This feedback information is used to evaluate and compare different allocation options, selecting changes that minimize operational costs while maintaining necessary service flexibility to respond to disturbances and delays.
Solution Approach 2:
The patent evaluates vehicle allocation changes based on their partial impact on different operational aspects (shunting, crew, work plans) rather than requiring complete re-planning of all operations. By assessing and selecting changes that minimize overall disruption, the system achieves service flexibility with reduced operational costs.
3Adaptability or versatility
If multiple vehicle bases are involved in vehicle provision, then service coverage is improved, but negotiation time and coordination complexity increase
Solution Approach 1:
The patent merges the vehicle allocation decision-making processes across multiple vehicle bases into a unified automated system. The system simultaneously evaluates vehicle availability, operational costs, and facility requirements from all bases and produces an integrated allocation plan, eliminating the need for time-consuming negotiations between separate providers while maintaining comprehensive service coverage.
Solution Approach 2:
The patent introduces an automated allocation support system as an intermediary between multiple vehicle bases and service providers. This intermediary system handles the coordination and negotiation automatically by evaluating all options and producing optimized allocation decisions, significantly reducing negotiation time while maintaining service coverage across multiple bases.
4Device complexity
If vehicle allocation does not consider time zone-specific facilities, then operational simplicity is maintained, but passenger satisfaction and service quality deteriorate
Solution Approach 1:
The patent applies local quality by assigning different facility requirements to different time zones and routes. The system evaluates vehicle allocations based on the specific facility needs of each time zone (e.g., catering facilities for commuting hours, baggage space for daytime long-distance travel), ensuring passenger satisfaction is maintained while managing system complexity through structured local requirements.
Data Source
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AI summary
Provided are: a constraint management unit that manages a constraint condition defined for each vehicle yard and a facility condition defined for each time and/or route; a vehicle candidate extraction unit that searches for a vehicle that is allocable to a train in a train diagram so as to satisfy the constraint condition and the facility condition and to be capable of transporting the given number of passengers with demand to extract a candidate of a vehicle to be allocated to the train; and an influence determination unit that calculates operation cost based on influence degrees which is degrees of influence on a shunting plan, a crew plan, and a work plan, for the extracted candidate.