IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v38y2015i4p409-424.html
   My bibliography  Save this article

Optimal bus service patterns and frequencies considering transfer demand elasticity with genetic algorithm

Author

Listed:
  • Yavuz Y. Ulusoy
  • Steven I-Jy Chien

Abstract

This paper attempts to optimize bus service patterns (i.e., all-stop, short-turn, and express) and frequencies which minimize total cost, considering transfer demand elasticity. A mathematical model is developed based on the objective total cost for a generalized bus route, which is optimized subject to a set of constraints ensuring sufficient capacity, an operable bus fleet, and service frequency conservation. To optimize the integrated service of a bus route with many stops, which is a combinatorial optimization problem, a genetic algorithm is developed and applied to search for the solution. A case study, based on a real-world bus route in New Jersey, is conducted to demonstrate the applicability and effectiveness of the developed model and the solution algorithm. Results show that the proposed methodology is fairly efficient, and the optimized bus service significantly reduces total cost.

Suggested Citation

  • Yavuz Y. Ulusoy & Steven I-Jy Chien, 2015. "Optimal bus service patterns and frequencies considering transfer demand elasticity with genetic algorithm," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(4), pages 409-424, June.
    • Handle: RePEc:taf:transp:v:38:y:2015:i:4:p:409-424
    DOI: 10.1080/03081060.2015.1026101
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2015.1026101
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03081060.2015.1026101?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Xumei Chen & Xiaomi Han & Lei Yu & Changhai Wei, 2017. "Does Operation Scheduling Make a Difference: Tapping the Potential of Optimized Design for Skipping-Stop Strategy in Reducing Bus Emissions," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    2. Soto, Guillermo & Larrain, Homero & Muñoz, Juan Carlos, 2017. "A new solution framework for the limited-stop bus service design problem," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 67-85.
    3. Seda Yanık & Salim Yılmaz, 2023. "Optimal design of a bus route with short-turn services," Public Transport, Springer, vol. 15(1), pages 169-197, March.
    4. Chunyan Tang & Avishai Ceder & Ying-En Ge, 2018. "Optimal public-transport operational strategies to reduce cost and vehicle’s emission," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-17, August.
    5. Edward Kim, M. & Schonfeld, Paul & Roche, Austin & Raleigh, Chelsie, 2022. "Optimal service zones and frequencies for flexible-route freight deliveries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 182-199.

    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:taf:transp:v:38:y:2015:i:4:p:409-424. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GTPT20 .

    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.