Train Operation Diagram Adjustment via Passenger Flow Data
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Solution Overview
Problem
Current rail transit operation management is inefficient due to high manpower and resource requirements for passenger flow demand analysis, leading to long decision-making cycles and inaccurate operation diagram adjustments, which do not reflect actual operation conditions.
Innovation Solution
A system and method that integrates train operation data and passenger flow data to automatically adjust planned train operation diagrams by analyzing actual operation data and passenger flow distribution, optimizing parameters such as stop times and routing schemes based on real-time conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual passenger flow demand analysis and investigation are conducted to adjust operation diagrams, then transportation capacity can be improved, but operation management cost increases and decision-making cycle lengthens
Solution Approach 1:
The patent replaces manual mechanical analysis methods with automated electronic data processing systems. The system automatically collects passenger flow data from AFC devices and vehicle weighing equipment, processes this data through computer algorithms to determine congestion and idle intervals, and generates adjusted operation diagrams without manual intervention, thereby reducing both time and labor costs while maintaining improved transportation capacity
Solution Approach 2:
The system enables self-service by automatically performing data collection, analysis, and diagram adjustment functions. The computer system autonomously processes passenger flow data, identifies operational issues, and generates adjustment recommendations without requiring manual passenger flow demand analysis and investigation, eliminating the need for on-site investigation personnel and cross-functional coordination
2Ease of manufacture
If planned operation diagram parameters are determined before line opening, then operation management is simplified, but parameters may not conform to actual operation conditions
Solution Approach 1:
The patent implements feedback by continuously collecting actual passenger flow data from AFC devices and vehicle weighing equipment during line operation. This real-time data feeds back into the system to compare against the planned operation diagram, identify deviations and congestion patterns, and trigger automatic adjustments to ensure parameters conform to actual operation conditions while maintaining management simplicity
Solution Approach 2:
The system transforms static pre-determined parameters into dynamic adjustable parameters. The operation diagram parameters are no longer fixed after line opening but are continuously optimized based on real-time passenger flow data and actual operational performance, allowing the system to adapt to changing conditions while maintaining ease of management through automated processes
3Measurement precision
If on-site investigation and cross-functional coordination are conducted for passenger flow analysis, then accurate demand assessment is achieved, but operation management cost increases
Solution Approach 1:
The patent replaces manual on-site investigation with automated electronic data collection systems. Passenger flow data is automatically captured by AFC devices at stations and vehicle weighing equipment on trains, eliminating the need for manual counting and observation by investigation personnel, thereby reducing manpower and material resources while maintaining or improving assessment accuracy
Solution Approach 2:
The system creates digital copies of passenger flow data through automated sensing and recording devices. Instead of manual observation and recording, electronic copies of actual passenger flow information are captured, stored, and processed by the computer system, enabling accurate demand assessment without requiring physical on-site investigation resources
Data Source
AI summary
The present disclosure relates to a system and method for automatic adjustment of a planned train operation chart. The system comprises a train operation data analysis module, a passenger flow data matching module, and an operation chart adjustment module that are connected in sequence. The train operation data analysis module is connected to the operation chart adjustment module; the train operation data analysis module assesses the deviation between an actual operation chart and a planned operation chart on the basis of ATS historical operation data to obtain an operation chart assessment result; the passenger flow data matching module calculates the actual passenger flow distribution on the basis of on-board weighing passenger flow data and AFC passenger flow data, and matches the actual passenger flow distribution with the actual operation chart to obtain a passenger flow matching result; and the operation chart adjustment module performs optimizing adjustment.