The development of the collaborative operation mode of multi-standard rail transit system formed by urban rail transit, municipal railway, intercity railway, and trunk railway has become the key to promote the integrated development of regional transportation. The core task of multi-standard regional rail transit coordination is to realize the dynamic preparation of train operation scheme under the background of different standard cooperative operations in the context of dynamic passenger flow demand. This paper with the system rail transit operation enterprise operation benefit maximization and passenger travel cost minimization as the target function, collaborative optimization of departure frequency, stop scheme elements, considering the capacity matching degree, train stops, minimum departure frequency, passenger flow demand and transportation capacity limit constraints, build multi-system coupling train operation scheme dynamic optimization model, and using the principle of genetic algorithm, the design algorithm to solve. The calculation results demonstrate that after optimizing the train operation scheme of the multi-standard rail transit system, the operational capacity provided by the train operation plans for lines L and S aligns perfectly with the transfer passenger flow at stations S1 and S3 and other rail transit systems, falling within the optimal operational capacity matching range. This validates the effectiveness of the model and algorithm. The research findings offer a decision-making approach for dynamically preparing train operation schemes in multi-system coupling scenarios.
Study on the Dynamic Preparation and Optimization of Multi-standard Rail Transit Train Operation Scheme
Smart Innovation, Systems and Technologies
International Conference on Smart Vehicular Technology, Transportation, Communication and Applications ; 2024 ; Kaohsiung City, Taiwan April 16, 2024 - April 18, 2024
Advances in Smart Vehicular Technology, Transportation, Communication and Applications ; Chapter : 7 ; 99-115
2025-06-22
17 pages
Article/Chapter (Book)
Electronic Resource
English
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