IDEAS home Printed from https://ideas.repec.org/a/inm/ortrsc/v21y1987i1p17-25.html
   My bibliography  Save this article

A Family of Methods for Preliminary Highway Alignment

Author

Listed:
  • Dan Trietsch

    (Streamline Operations, Oakland, California)

Abstract

The alignment of a highway is usually determined in two or even three stages. The preliminary stage, also referred to as the corridor selection, is concerned with finding a piecewise linear trajectory, which is refined in the higher stages. In this paper we present a family of methods for this preliminary design, which includes some published methods and some new ones. The new methods shown were designed to overcome some of the more obvious drawbacks of the others. Finally, one specific new method is recommended, which is “Pareto-optimal” and appealing; however, no single method within the family dominates all the others in all the parameters considered.

Suggested Citation

  • Dan Trietsch, 1987. "A Family of Methods for Preliminary Highway Alignment," Transportation Science, INFORMS, vol. 21(1), pages 17-25, February.
  • Handle: RePEc:inm:ortrsc:v:21:y:1987:i:1:p:17-25
    DOI: 10.1287/trsc.21.1.17
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/trsc.21.1.17
    Download Restriction: no

    File URL: https://libkey.io/10.1287/trsc.21.1.17?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. Pushak, Yasha & Hare, Warren & Lucet, Yves, 2016. "Multiple-path selection for new highway alignments using discrete algorithms," European Journal of Operational Research, Elsevier, vol. 248(2), pages 415-427.
    2. Kim, Eungcheol & Jha, Manoj K. & Son, Bongsoo, 2005. "Improving the computational efficiency of highway alignment optimization models through a stepwise genetic algorithms approach," Transportation Research Part B: Methodological, Elsevier, vol. 39(4), pages 339-360, May.
    3. Jha, Manoj K. & Schonfeld, Paul, 2004. "A highway alignment optimization model using geographic information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(6), pages 455-481, July.
    4. Jong, Jyh-Cherng & Schonfeld, Paul, 2003. "An evolutionary model for simultaneously optimizing three-dimensional highway alignments," Transportation Research Part B: Methodological, Elsevier, vol. 37(2), pages 107-128, February.

    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:inm:ortrsc:v:21:y:1987:i:1:p:17-25. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.