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Simulation Evaluation of a Current Limiting Scheme in an Urban Rail Transit Network

Author

Listed:
  • Hexin Hu

    (School of Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China)

  • Jitao Li

    (School of Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China)

  • Shuai Wu

    (China Railway Beijing Group Co., Ltd., Beijingxi Railway Station, Beijing 100844, China)

Abstract

The formulation of the current limiting scheme of an urban rail transit network is a complex multi-objective planning problem as the effect of the current limiting scheme is unknown before implementation. In this article, a method combining discrete event simulation and agent simulation is used to study the simulation scheduling principle of the current limiting scheme, and a modeling method based on an abstract agent group is proposed. Based on the AnyLogic simulation platform, a meso-scale simulation model for evaluating the current limiting scheme of urban rail transit networks was developed, and a logical framework for the operation simulation of the intelligent group and urban rail network system with stations, passengers, and trains as units was constructed. Furthermore, the data exchanges between stations, trains, and passengers were controlled through discrete events of driving. The results show that the constructed simulation model can effectively replace the actual system to evaluate the current limiting scheme and reduce the computational redundancy of passenger agents flowing in the urban rail network system and the cost of model transformation.

Suggested Citation

  • Hexin Hu & Jitao Li & Shuai Wu, 2022. "Simulation Evaluation of a Current Limiting Scheme in an Urban Rail Transit Network," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:375-:d:1015470
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    References listed on IDEAS

    as
    1. Chengli Cong & Xuan Li & Shiwei Yang & Quan Zhang & Lili Lu & Yang Shi, 2022. "Impact Estimation of Unplanned Urban Rail Disruptions on Public Transport Passengers: A Multi-Agent Based Simulation Approach," IJERPH, MDPI, vol. 19(15), pages 1-25, July.
    2. Lili Wang & Xuedong Yan & Yun Wang, 2015. "Modeling and Optimization of Collaborative Passenger Control in Urban Rail Stations under Mass Passenger Flow," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-8, March.
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    Cited by:

    1. Yangyang Meng & Xiaofei Zhao & Jianzhong Liu & Qingjie Qi, 2023. "Dynamic Influence Analysis of the Important Station Evolution on the Resilience of Complex Metro Network," Sustainability, MDPI, vol. 15(12), pages 1-15, June.

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