Volume 41 Issue 2
Apr.  2023
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Article Navigation >  Journal of Transport Information and Safety  > 2023  >  41(2): 129-138
LI Yina, MENG Xuelei, QIN Yongsheng, HAN Zheng, WANG Yue. A Method for Developing Operation Plans of Community Railways under the Condition of Multi-network Integration[J]. Journal of Transport Information and Safety, 2023, 41(2): 129-138. doi: 10.3963/j.jssn.1674-4861.2023.02.014
Citation: LI Yina, MENG Xuelei, QIN Yongsheng, HAN Zheng, WANG Yue. A Method for Developing Operation Plans of Community Railways under the Condition of Multi-network Integration[J]. Journal of Transport Information and Safety, 2023, 41(2): 129-138. doi: 10.3963/j.jssn.1674-4861.2023.02.014
shu

A Method for Developing Operation Plans of Community Railways under the Condition of Multi-network Integration

doi: 10.3963/j.jssn.1674-4861.2023.02.014
  • 1.

    School of Traffic and Transportation, Lanzhou Jiaotong University, Gansu Lanzhou 730070, China

  • 2.

    China Railway Shanghai Design Institute group corporation limited, Shanghai 200070, China

  • Received Date: 2022-06-28
    Available Online: 2023-06-19
    Abstract
  • A method for developing operation plans of community railways under the condition of multi-network integration is studied, in order to match arrival-departure time sequence and capacity between community railways and other types of railways. The flows of cross-mode transfer are considered and divided according to its time distribution and the value of time of passengers. A multi-objective nonlinear integer programming model, whose objective is to minimize train operation cost, generalized total travel cost of passengers, and the short-term impact of cross-mode transfer on the studied railway line, is developed with the constraints of load rate, capacity, time interval, arrival-departure time of trains and coordination of transfers of passengers. A linear weighted method is used to convert the multi-objective problem into a single-objective one. An improved Harris Hawks optimization, where a fuzzy elitism strategy and a nonlinear escape energy updating strategy are introduced, is designed to avoid local optimum solution, and improve the quality of solution. The data from Line S1 railway of the City of Taizhou and its connecting high-speed railways is taken as the case study. Study results show that the value of the objective function of the model decreases by 36.7%, compared with its initial solution. Compared with the benchmark Harris Hawks optimization, the train operation cost, the total generalized travel cost, and generalized objective of the model decreases by 8.09%, 7.04%, and 7.56%, respectively. These results prove that the designed algorithm is suitable and has a higher accuracy. Within the proposed model, train capacity and efficiency of passenger transfer in different time periods have been taken into account in the model, which is helpful to improve the coordination among different railway lines under the condition of multi-network integration.

     

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