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An Optimization Method of Urban Rail Train Operation Scheme Based on the Control of Load Factor

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  • Fei Dou

    (Beijing Mass Transit Railway Operation Corp. Ltd., Beijing 100044, China
    Beijing Key Laboratory of Subway Operation Safety Technology, Beijing 100044, China)

  • Huiru Zhang

    (Beijing Mass Transit Railway Operation Corp. Ltd., Beijing 100044, China
    Beijing Key Laboratory of Subway Operation Safety Technology, Beijing 100044, China)

  • Haodong Yin

    (State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China)

  • Yun Wei

    (Beijing Mass Transit Railway Operation Corp. Ltd., Beijing 100044, China
    Beijing Key Laboratory of Subway Operation Safety Technology, Beijing 100044, China)

  • Yao Ning

    (Beijing Mass Transit Railway Operation Corp. Ltd., Beijing 100044, China
    Beijing Key Laboratory of Subway Operation Safety Technology, Beijing 100044, China)

Abstract

The train operation scheme of urban rail transit is a transportation plan formulated to fully meet the needs of passenger travel under the constraints of signal system capacity, turn-back capacity, and so on. Facing an unexpected epidemic, it was particularly important for passengers to travel safely and in an orderly manner. With an ever-increasing passenger flow due to work resumption, this paper proposes an optimization method for the urban rail train operation scheme based on the control of the target load factor according to the preparation process of the train operation scheme. The proposed method obtained the optimal train running interval and routing scheme based on analyzing the spatiotemporal distribution of passenger flow. The north section of Beijing Subway Line 8 was taken as an example. After optimization, for trains in the morning peak hour in the downward direction, the maximum load factor for the collinear section of the full-length routing and short-turn routing was reduced by 21%, and the matching effect of the transportation capacity and volume in the non-collinear was improved. In general, the maximum load factor in the downward direction after optimization was 80%, which met the target control requirements. The results show that the optimization method plays an important role in balancing the load factor in each cross-section and realizing the optimal coupling of passenger flow and train flow.

Suggested Citation

  • Fei Dou & Huiru Zhang & Haodong Yin & Yun Wei & Yao Ning, 2022. "An Optimization Method of Urban Rail Train Operation Scheme Based on the Control of Load Factor," Sustainability, MDPI, vol. 14(21), pages 1-13, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14235-:d:959331
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    References listed on IDEAS

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    Cited by:

    1. Xiaona Zhang & Fu Wang & Weidi Xu & Yin Wang & Jingwen Luo & Xinyu Chen & Manqing Ye, 2023. "Research on the Evaluation of Rail Transit Transfer System Based on the Time Value," Sustainability, MDPI, vol. 16(1), pages 1-25, December.
    2. 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.
    3. Gonzalo Sánchez-Contreras & Adrián Fernández-Rodríguez & Antonio Fernández-Cardador & Asunción P. Cucala, 2023. "A Two-Level Fuzzy Multi-Objective Design of ATO Driving Commands for Energy-Efficient Operation of Metropolitan Railway Lines," Sustainability, MDPI, vol. 15(12), pages 1-24, June.

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