Robustness-Oriented Optimization of Train Platforming Problem in Busy Complex Railway Station

Zeng, Qiongfang; Zhang, Yinggui; Su, Huanyin; Hu, Ruihua

doi:10.1155/2022/5922653

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…For instance, Lu et al [4] proposed a model for the TPP and train rescheduling problems with a conflict degree approach, and the model can switch between the above two inter-locking mechanisms. Zeng et al [23] presented a track-circuit-based model for the robust train platforming problem. In our TPP with shunting operations, a switch group-based structure in conflict representation for railway yards is also used.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Train Platforming with Shunting Operations for Multidirectional Passenger Stations: A Case Study of Guangzhou Station

Zhang

Zeng

et al. 2023

Mathematics

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Busy, complex railway stations that serve as origin and termination points for a significant proportion of trains are essential to regional railway networks. Resolving conflicts between arrival–departure operations and shunting operations of cross-line trains and originating or terminating passenger trains in the throat area is important for safety in these multidirectional stations. The main task of this paper is to study the train platforming problem, and we consider the integration of track and route allocation with shunting route allocation on the basis of the traditional TTP problem, so as to formulate a strong anti-interference track allocation plan for busy, complex railway stations. Therefore, in view of the complex characteristics of train operation in busy, complex railway stations, we extensively examine the technical operational characteristics of various trains in multidirectional stations, which are the key constraints of the model, and establish a mixed-integer linear programming model. This model aims to balance the buffer time for track occupation and optimize the routing and scheduling of trains in stations. Furthermore, an improved genetic algorithm is proposed to effectively implement the developed model. In the case study of Guangzhou Station, the occupation analysis after the optimization of the method in this paper indicates that the shunting operations significantly interfere with arrival–departure operations in throat areas. The optimization of buffer times and track utilization times resulted in notable reductions of 30.55% and 77.82%, respectively, in quadratic differences. These outcomes provide empirical evidence supporting the feasibility of the proposed model and algorithm for addressing train platforming problems, particularly in complex, multidirectional, and heavily trafficked railway stations.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal Train Platforming with Shunting Operations for Multidirectional Passenger Stations: A Case Study of Guangzhou Station

Zhang

Zeng

et al. 2023

Mathematics

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“…Usually, dispatchers assign tracks to trains according to the fixed track utilization rule as explained by Zeng et al [17]. For instance, terminating passenger trains (TEPTs) and originating passenger trains (ORPTs) are assigned to tracks and platforms that are close to the waiting room in busy complex stations because they will alight or board a huge number of passengers.…”

Section: Problem Descriptionmentioning

confidence: 99%

A Genetic Simulated Annealing Algorithm for Real-Time Track Reallocation in Busy Complex Railway Station

Zeng

Zhang

et al. 2022

Mathematical Problems in Engineering

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Track failure at a railway station is a common disruption in the station area caused by abnormal weather or frequent use. This paper focuses on the real-time track reallocation problem to recover the affected track utilization plan and minimize the total train delays and passenger inconveniences. Train platforming operations in busy complex passenger stations are generally conducted according to fixed track utilization rules. In this paper, we presented a mixed-integer linear programming model for train platforming problems with constraints relevant to fixed track utilization rule and objectives of balanced usage of tracks. Furthermore, we proposed an improved genetic simulated annealing algorithm based on improved crossover and selection methods without breaking the fixed track utilization rule constraint. An experiment of Guanzhou East Station with fixed track utilization rules shows the effectiveness of the proposed model and algorithm. The model and algorithm provide efficient approaches for track reallocation problems based on fixed track utilization rules in busy complex passenger stations.

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Robustness-Oriented Optimization of Train Platforming Problem in Busy Complex Railway Station

Cited by 2 publications

References 17 publications

Optimal Train Platforming with Shunting Operations for Multidirectional Passenger Stations: A Case Study of Guangzhou Station

Optimal Train Platforming with Shunting Operations for Multidirectional Passenger Stations: A Case Study of Guangzhou Station

A Genetic Simulated Annealing Algorithm for Real-Time Track Reallocation in Busy Complex Railway Station

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