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Demand-driven timetable and stop pattern cooperative optimization on an urban rail transit line

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  • Pan Shang
  • Ruimin Li
  • Liya Yang

Abstract

This study proposes a modelling framework for the demand-driven train timetable and stop pattern cooperative optimization problem on an urban rail transit line. By embedding the train stop pattern into the timetable optimization process, we consider the minimization of total passenger travel time. A binary variable determination (BVD) method, which can transform complicated linear constraints into simple logical constraints, is proposed to calculate the large number of binary variables easily, and a genetic algorithm (GA) based on the BVD method is designed to solve the proposed model. A case study of the Batong line in the Beijing subway network is conducted to test the proposed model and algorithm. This study can provide beneficial advice for the operator to improve the operational service of urban rail transit lines.

Suggested Citation

  • Pan Shang & Ruimin Li & Liya Yang, 2020. "Demand-driven timetable and stop pattern cooperative optimization on an urban rail transit line," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(1), pages 78-100, January.
    • Handle: RePEc:taf:transp:v:43:y:2020:i:1:p:78-100
    DOI: 10.1080/03081060.2020.1701757
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    Cited by:

    1. Zhang, Yongxiang & Peng, Qiyuan & Lu, Gongyuan & Zhong, Qingwei & Yan, Xu & Zhou, Xuesong, 2022. "Integrated line planning and train timetabling through price-based cross-resolution feedback mechanism," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 240-277.
    2. Pan Shang & Yu Yao & Liya Yang & Lingyun Meng & Pengli Mo, 2021. "Integrated Model for Timetabling and Circulation Planning on an Urban Rail Transit Line: a Coupled Network-Based Flow Formulation," Networks and Spatial Economics, Springer, vol. 21(2), pages 331-364, June.

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