IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/549374.html
   My bibliography  Save this article

An Optimization to Schedule Train Operations with Phase-Regular Framework for Intercity Rail Lines

Author

Listed:
  • Huimin Niu
  • Minghui Zhang

Abstract

The most important operating problem for intercity rail lines, which are characterized with the train operations at rapid speed and high frequency, is to design a service-oriented schedule with the minimum cost. This paper proposes a phase-regular scheduling method which divides a day equally into several time blocks and applies a regular train-departing interval and the same train length for each period under the period-dependent demand conditions. A nonlinear mixed zero-one programming model, which could accurately calculate the passenger waiting time and the in-train crowded cost, is developed in this study. A hybrid genetic algorithm associated with the layered crossover and mutation operation is carefully designed to solve the proposed model. Finally, the effectiveness of the proposed model and algorithm is illustrated through the application to Hefei-Wuhan intercity rail line in China.

Suggested Citation

  • Huimin Niu & Minghui Zhang, 2012. "An Optimization to Schedule Train Operations with Phase-Regular Framework for Intercity Rail Lines," Discrete Dynamics in Nature and Society, Hindawi, vol. 2012, pages 1-13, November.
    • Handle: RePEc:hin:jnddns:549374
    DOI: 10.1155/2012/549374
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/DDNS/2012/549374.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/DDNS/2012/549374.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2012/549374?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Erfan Hassannayebi & Seyed Hessameddin Zegordi & Mohammad Reza Amin-Naseri & Masoud Yaghini, 2017. "Train timetabling at rapid rail transit lines: a robust multi-objective stochastic programming approach," Operational Research, Springer, vol. 17(2), pages 435-477, July.
    2. Zhao, Yaqiong & Li, Dewei & Yin, Yonghao & Zhao, Xiaoli, 2023. "Integrated optimization of demand-driven timetable, train formation plan and rolling stock circulation with variable running times and dwell times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    3. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnddns:549374. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.