Passenger Transfer Synchronization Optimization for Urban Rail Transit
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Solution Overview
Problem
Current urban rail transit train diagrams are inefficiently adjusted for transfer synchronization, relying on manual processes that lack precision and accuracy, leading to long waiting times and low adjustment efficiency.
Innovation Solution
A passenger-oriented transfer synchronization optimization method using a genetic algorithm to adjust arrival and departure times of trains based on transfer-related information, minimizing average waiting times, and controlling trains according to an optimized train diagram.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual adjustment methods are used for train diagram synchronization, then flexibility in making adjustments is maintained, but adjustment efficiency is low and accuracy cannot be guaranteed
Solution Approach 1:
The patent replaces the manual mechanical adjustment process with an automated computer-based system. The optimization device automatically adjusts train diagrams by calculating synchronization times and generating adjusted diagrams without manual intervention, thereby improving adjustment efficiency while eliminating the complexity of manual proofreading and confirmation processes.
2Productivity
If automated optimization methods are introduced, then adjustment efficiency improves, but system complexity increases
Solution Approach 1:
The patent introduces an optimization device as an intermediary between the original train diagram and the adjusted train diagram. This device contains functional modules for obtaining transfer-related information, adjusting train diagrams based on synchronization requirements, and generating optimized results, thereby automating the process while managing system complexity through modular design.
3Loss of time
If train diagrams are adjusted for transfer synchronization, then passenger waiting time is reduced, but the complexity of coordinating multiple lines increases
Solution Approach 1:
The patent segments the complex multi-line coordination problem into manageable parts by focusing on transfer stations as key nodes. The optimization device obtains transfer-related information specifically at these stations and adjusts train diagrams based on synchronization requirements at transfer points, thereby reducing passenger waiting time while managing coordination complexity through targeted station-based optimization.
Data Source
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AI summary
Embodiments of the present application provide a passenger-oriented transfer synchronization optimization method and a passenger-oriented transfer synchronization optimization device, in which minimizing average waiting time of passengers is taken as an optimization objective, and constraint conditions are determined based on the transfer-related information; an arrival time and a departure time of each train is adjusted on an original train diagram of lines to be adjusted, and an adjusted train diagram is determined; and the trains on the lines to be adjusted are controlled based on the adjusted train diagram. Urban rail transit train diagrams for complex lines can be made, and no manual participation is required when adjusting the train diagrams, which can not only improve the adjustment efficiency, but also ensure the adjustment effect by avoiding errors caused by manual adjustments. By controlling the trains on the lines to be adjusted through the adjusted train diagram, the transfer efficiency of passengers can be improved when making transfers, and all-day transfer synchronizations can be optimized, thereby solving the problems of low efficiency and non-refined operation in making train diagrams, and providing technical and algorithm support for automatically making train diagrams.