Research on the Minimum Organized Number of Train Wagons Considering Dual Benefits in a Railway Marshalling Station

Hu, Zuoan; Peng, Zheng; Li, Bowei; Wang, Pei

doi:10.1061/9780784482292.251

Cited by 2 publications

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“…Jin et al [3] presented a high-speed railway freight service network model that balances costs and demand, resolved through a column generation algorithm, thereby optimizing operational costs. Hu et al [4] addressed the minimization of necessary train containers in marshalling stations, considering both carrier and shipper benefits. Yang [5] examined Baoshen Railway's transportation organization optimization using qualitative measures and an evaluation system developed through the Delphi method, AHP, and the entropy weight method.…”

Section: Introductionmentioning

confidence: 99%

Robust Optimization of Transport Organization for China Railway Express

Zheng,

Shen,

et al. 2023

Applied Sciences

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This paper presents an in-depth analysis of the robust optimization of the China–Europe freight train transportation organization under uncertain cargo transportation demand. The study commences by constructing a robust optimization model tailored for specific environments, which is further extended to address the complexities of uncertain freight demand. A notable aspect of this research is the adoption of an innovative approach to manage the uncertainties in freight transportation demand at each node, employing a box-type uncertainty set distribution. This methodology allows for an effective and balanced optimization strategy that accommodates the dynamic nature of demand fluctuations. The research findings underscore that increased robustness in the optimization model is associated with higher transportation costs within the China–Europe freight train network, especially under conditions of variable demand. The model demonstrates a preference for adjusting transportation costs to maintain the stability of the transportation scheme, particularly in response to wider variations in cargo demand. This strategy, prioritizing cost-effectiveness and adaptability, highlights the importance of a comprehensive approach to managing demand uncertainties. The significant contributions of this paper include the development of a robust, economically viable, and efficient transportation organization plan for China–Europe freight trains, equipped to navigate the challenges posed by uncertain cargo demand at the originating nodes. The study’s emphasis on the practical application of advanced optimization techniques and uncertainty management methods marks a notable advancement in the field of freight train transportation. Additionally, the paper suggests avenues for further research in the intricate and evolving landscape of freight transportation, providing valuable insights for future studies.

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Section: Introductionmentioning

confidence: 99%

Robust Optimization of Transport Organization for China Railway Express

Zheng,

Shen,

et al. 2023

Applied Sciences

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Track Utilization Optimization Method for Arrival Yard of Marshalling Station Considering Arrival and Break-Up Coordination Operation

2022

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The efficiency of track utilization is one of the important factors for train operation in marshalling stations, and it can not only affect the turnover efficiency of trains, but also determine the capacity of railway stations. This paper presents an optimization method for track utilization in the arrival yard of a marshalling station considering Arrival and Break-up Coordination Operation (ABCO). The interaction between the push operation of trains and track utilization efficiency is investigated. First, the case of crossing the running route for shunting locomotives is analyzed. Whether the shunting route crosses or not can greatly affect the duration of trains occupying tracks in the station. Then, a nonlinear integer programming model (NLPM) is established based on the above analysis. The ultimate goal is to minimize the number of crossovers of the shunting route by adding a constraint condition for ensuring traffic safety. A track assignment algorithm based on ABCO for solving the NLPM is proposed. Train operations in the downlink arrival yard of station A are simulated with the proposed method. The results after applying the optimization method show that the average duration of trains on the tracks is reduced by 49.1%, and the degree to which tracks utilization is balanced is also significantly improved. The proposed method optimizes and extends the current achievements that have been reported in the literature.

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Research on the Minimum Organized Number of Train Wagons Considering Dual Benefits in a Railway Marshalling Station

Cited by 2 publications

References 0 publications

Robust Optimization of Transport Organization for China Railway Express

Robust Optimization of Transport Organization for China Railway Express

Track Utilization Optimization Method for Arrival Yard of Marshalling Station Considering Arrival and Break-Up Coordination Operation

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