Metro Train Delay Adjustment System Using Automated Rolling Stock Optimization
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Solution Overview
Problem
Current manual methods for adjusting metro train operations during delays are labor-intensive, prone to errors, and vary in efficiency due to individual dispatcher experience, leading to suboptimal handling of complex scenarios and increased passenger disruption.
Innovation Solution
An automated operation adjustment method and system that acquires real-time data to determine detaining positions, operation strategies, and optimal rolling stock configurations, reducing manual labor and ensuring reasonable adjustments to minimize delay impacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment method is used, then dispatcher can make decisions based on experience, but labor intensity increases and working pressure increases
Solution Approach 1:
The patent replaces the manual mechanical adjustment process with an automated information processing system. The system automatically acquires delay information, calculates adjustment strategies, and generates operation diagrams, eliminating the need for manual calculation and decision-making while maintaining the expertise-based approach through programmed algorithms.
Solution Approach 2:
The system performs self-service by automatically acquiring delay information from multiple sources, processing the data through calculation modules, and generating adjustment strategies without requiring continuous human intervention. The automated operation diagram generation completes the adjustment process independently.
2Adaptability or versatility
If manual adjustment method is used, then dispatcher can consider comprehensive factors, but the process is complicated and time-consuming
Solution Approach 1:
The patent segments the complex adjustment process into distinct functional modules: information acquisition module, calculation module, and operation diagram generation module. Each module handles specific aspects of the adjustment process, allowing comprehensive consideration of factors while reducing overall processing time through parallel processing and automated execution.
Solution Approach 2:
The system substitutes manual comprehensive analysis with automated computational algorithms that can simultaneously process multiple factors and generate optimized adjustment strategies, reducing the time required for comprehensive consideration while maintaining adaptability to various scenarios.
3Reliability
If manual adjustment method is used, then dispatcher can respond to delays, but individual differences lead to varying efficiencies and results
Solution Approach 1:
The patent implements homogeneity by replacing individual dispatcher expertise with a standardized automated system. The information acquisition, calculation, and diagram generation processes are uniformly applied to all delay scenarios, ensuring consistent and reliable adjustment results regardless of which dispatcher handles the situation, while eliminating variability in efficiency.
4Speed
If manual adjustment method is used, then dispatcher can make quick response, but the large number of decisions cannot ensure reasonable and optimal results
Solution Approach 1:
The system substitutes manual decision-making with automated computational algorithms that can rapidly process numerous decisions and generate optimized adjustment strategies. The calculation module efficiently evaluates multiple scenarios and produces reasonable and optimal results while maintaining quick response speed through automated processing.
Data Source
AI summary
The present disclosure provides an operation adjustment method and system for metro trains in a delay scenario. The method includes: acquiring basic parameters, current delay information and current online train information in a metro system; determining a detaining position of a departing train and an operation strategy of a waiting train according to the acquired; determining a next state of a running train according to the detaining position, the operation strategy, and the acquired; and optimally configuring an available rolling stock resource of the metro system according to the next state of the running train and operation data. The present disclosure can automatically adjust the operation diagram according to the delay information and reasonably change the operation plan of the rolling stock, so as to reduce influences of the delay on passengers and improve the actual fulfillment rate of the operation diagram.

