Decisions on train rescheduling and locomotive assignment during the COVID-19 outbreak: A case of the Beijing-Tianjin intercity railway

Kang, Liujiang; Xiao, Yue; Sun, Huijun; Wu, Jianjun; Luo, Sida; Buhigiro, Nsabimana

doi:10.1016/j.dss.2021.113600

Cited by 10 publications

(1 citation statement)

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“…The reliability of the rolling stock scheduling plan was studied in [19], where a quantitative approach to the reliability of rolling stock connection was proposed and an optimization strategy to improve the reliability by increasing the connection time was described. A mixed-integer programming model and a two-step solution algorithm were developed for the adjustment of the rolling stock scheduling plan under the influence of COVID-19, providing a solution to the problem of the optimization of the rolling stock scheduling plan during unexpected events [20]. A comprehensive study on the optimization of rolling stock scheduling plan was described in [16]; many elements were considered, such as the number of rolling stocks, reordering requirements, storage conditions, deadhead distance, and balance of rolling stocks.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Optimization of Rolling Stock Scheduling and Flexible Train Formation Based on Passenger Demand for an Intercity High-Speed Railway

Zhao

Han

et al. 2022

Sustainability

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The key features of an intercity high-speed railway (IHSR) include its high frequency, the short intervals, and the short distances covered. The mode of rolling stock scheduling generally uses fixed segments. In view of the fact that intercity passenger demand has the characteristics of large fluctuations in terms of time and direction, the use of the traditional rolling stock scheduling plan with a fixed train formation will result in a mismatch between the train formation and passenger demand. In order to improve the matching of train formation and passenger demand and increase the utilization rate of rolling stocks, this paper puts forward the concept of flexible train formation by time period and constructs an integrated optimization model of the rolling stock scheduling and flexible train formation based on passenger demand. The model aims at minimizing the number of rolling stocks, the amount of coupling/decoupling necessary, and the deadhead time. The model takes into account constraints such as the connection method used, the source and destination of the rolling stock, the total amount of rolling stock, and the use of a flexible train formation. In addition, the Gurobi solver is used to accurately solve the problem through the linearization of the model. This paper also provides an example of the Beijing–Tianjin IHSR as a verification of the feasibility and effectiveness of the proposed model. The example compares the indicators in the fixed and flexible train formation modes. The results of the research show that, on the premise of meeting passenger demand, the flexible train formation mode can reduce the cost of rolling stock; increase the efficiency of rolling stock; improve the balance of rolling stock scheduling; and, consequently, provide a reference for the optimization of rolling stock scheduling plan with the background of “cost reduction and efficiency increase” in the railway industry.

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Section: Literature Reviewmentioning

confidence: 99%