Real-Time Passenger Flow Counting for Train Operation Adjustment
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Solution Overview
Problem
Current train operation management systems rely heavily on manual adjustments, leading to inaccuracies and delays in matching passenger flow with transport capacity, often resulting in congestion due to the inability to timely add or remove trains in response to changing passenger demands.
Innovation Solution
An intelligent train operation adjustment system utilizing real-time passenger flow counting, matching, and adjustment modules, which includes video counting, train weighing, and AFC systems to automatically adjust train schedules and routes based on real-time data and historical trends, enabling rapid and accurate adjustments to meet passenger demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment methods are used to determine train operations, then dispatchers can make decisions based on reports and videos, but the adjustment speed and accuracy deteriorate due to high manual reliance and delays
Solution Approach 1:
The system enables self-service by automatically counting passenger flow using video analysis and AFC data, and autonomously generating train operation adjustment plans without requiring manual dispatcher intervention for each decision, thus improving adjustment speed while maintaining operational control
Solution Approach 2:
The patent replaces the manual mechanical decision-making process with an automated intelligent system that uses video counting modules, AFC data, and algorithms to automatically determine train operation adjustments, eliminating the bottleneck of manual analysis and speeding up the adjustment process
2Ease of operation
If manual adjustment methods are used to determine train operations, then dispatchers can review reports and videos, but the matching accuracy between passenger flow and transport capacity deteriorates due to delays and human error
Solution Approach 1:
The system implements continuous feedback by real-time monitoring of passenger flow through video counting and AFC data, comparing actual passenger flow with transport capacity, and automatically adjusting train operations based on the deviation, ensuring accurate matching between passenger demand and supply
Solution Approach 2:
The patent replaces manual review and judgment with automated video analysis algorithms and data processing systems that objectively measure passenger flow and calculate optimal train operations, eliminating human error and improving measurement precision
3Productivity
If the system automatically adjusts train operations based on real-time passenger flow, then adjustment speed and accuracy improve, but system complexity increases due to multiple counting modules and integration requirements
Solution Approach 1:
The system achieves universality by designing a multi-functional integrated platform that combines video counting, AFC data processing, passenger flow analysis, and train operation optimization into a single system, reducing the need for separate standalone systems and simplifying overall integration
Solution Approach 2:
The patent introduces an intermediary data processing layer that standardizes data from various sources (video modules, AFC systems) into a unified format for analysis and decision-making, facilitating integration between different subsystems and reducing complexity in their direct connections
4Measurement precision
If multiple counting modules (video, train weighing, AFC) are integrated, then passenger flow measurement accuracy improves, but device complexity and data integration difficulty increase
Solution Approach 1:
The system merges multiple independent counting modules (video counting, train weighing, AFC counting) into a unified passenger flow measurement system that processes and cross-validates data from all sources simultaneously, achieving higher measurement precision through data fusion while managing integration through a centralized processing architecture
Data Source
AI summary
The present invention relates to an intelligent train operation adjustment system and method based on real-time passenger flow. The system includes a real-time passenger flow counting module, a real-time passenger flow and transport capacity matching module, and an intelligent train operation adjustment module, the real-time passenger flow counting module counts current real-time passenger flow and inputs the current real-time passenger flow into the real-time passenger flow and transport capacity matching module, the real-time passenger flow and transport capacity matching module matches a current passenger flow demand with a current transport capacity of a line, and the intelligent train operation adjustment module adjusts a working diagram in real time based on the real-time passenger flow and an operation result of the matching module, and adds or removes a train and arranges a path plan for the train with reference to a dispatching plan and device information. Compared with the prior art, the present invention has the following advantages: quick, flexible, and accurate.