Train Schedule Control Using Predicted Station Passenger Demand
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Solution Overview
Problem
Existing methods struggle to dynamically adjust the number of trains based on real-time passenger demands, leading to potential congestion and inefficiencies in public transportation systems, with existing solutions either relying on manual capacity increases or resulting in excess capacity.
Innovation Solution
A transportation system that collects real-time passenger data through automatic ticket gates, monitoring cameras, and wireless LAN access points to predict travel demands, allowing for the dynamic adjustment of train operations by increasing or reducing the number of trains as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of trains to be operated is increased to handle passenger demand, then transportation capacity is improved, but service cost increases
Solution Approach 1:
The system dynamically adjusts the number of trains to be operated based on real-time passenger demand predictions. The prediction unit continuously forecasts passenger flows, and the train operation adjustment unit modifies train schedules accordingly, transitioning from static to dynamic capacity management that matches actual demand patterns.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where passenger flow information is collected, predicted, and used to adjust train operations. The prediction results feed back into the train scheduling decisions, creating a continuous optimization cycle that balances capacity provision with actual passenger needs.
2Loss of energy
If the number of trains to be operated is reduced to decrease service cost, then service cost is reduced, but transportation capacity becomes insufficient
Solution Approach 1:
The system enables dynamic reduction of train operations during periods of low predicted passenger demand. By continuously monitoring prediction results, the system identifies opportunities to reduce train frequency or cancel trains without compromising service quality, thereby optimizing cost efficiency while maintaining adequate capacity.
Solution Approach 2:
The system changes operational parameters such as train frequency, departure times, and number of trains based on predicted passenger demand. These parameter adjustments allow the transportation system to flexibly match capacity provision with actual needs, avoiding both over-provisioning and under-provisioning.
3Ease of operation
If departure time of trains is adjusted to alleviate congestion, then passenger comfort is improved, but transportation capacity remains insufficient during peak demand
Solution Approach 1:
The system dynamically adjusts both departure times and the number of trains based on predicted passenger demand. Unlike conventional systems that only modify schedules, this system simultaneously optimizes timing and quantity of trains, ensuring that capacity is adequately provisioned while maintaining comfortable inter-departure intervals for passengers.
Data Source
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AI summary
A schedule proposal system 110 includes a data server 111 for storing information collected at a plurality of stations and related to passengers and a computing server 112 storing a program 420 for predicting the numbers of passengers who wait for trains and a program 440 for determining an increase or reduction in the number of trains to be operated. The computing server 112 executes, at predetermined time intervals, the program 420 for predicting the numbers of passengers who wait for trains and the program 440 for determining an increase or reduction in the number of trains to be operated. The program 420 for predicting the numbers of passengers who wait for trains predicts, based on the information related to passengers, the numbers of passengers who wait for trains at the plurality of stations in a predetermined time zone. The program 440 for determining an increase or reduction in the number of trains to be operated determines, based on the numbers of passengers who wait for trains at the plurality of stations, whether or not the number of trains to be operated is to be increased or reduced.