IDEAS home Printed from https://ideas.repec.org/a/inm/ortrsc/v15y1981i1p32-49.html
   My bibliography  Save this article

A Method for Direct Estimation of Origin/Destination Trip Matrices

Author

Listed:
  • Malachy Carey

    (Carnegie-Mellon University, Pittsburgh, Pennsylvania)

  • Chris Hendrickson

    (Carnegie-Mellon University, Pittsburgh, Pennsylvania)

  • Krishnaswami Siddharthan

    (Carnegie-Mellon University, Pittsburgh, Pennsylvania)

Abstract

Estimates of the volume of travel between zones or locations is often a necessary step in transportation studies. This paper suggests a method of estimating origin/destination volumes, using a direct demand function and incomplete, aggregate data. Most attention is devoted to demand functions which are linear in their parameters. With such demand functions, volume estimates are obtained from a quadratic programming problem, which minimizes the sum of squared errors from a direct demand function, subject to constraints derived from observations of some travel volumes. A decomposition algorithm is suggested for solving the programming problem and is proven to converge. The method may also be used in the trip distribution phase of the conventional urban transportation model systems (UTMS).

Suggested Citation

  • Malachy Carey & Chris Hendrickson & Krishnaswami Siddharthan, 1981. "A Method for Direct Estimation of Origin/Destination Trip Matrices," Transportation Science, INFORMS, vol. 15(1), pages 32-49, February.
    • Handle: RePEc:inm:ortrsc:v:15:y:1981:i:1:p:32-49
    DOI: 10.1287/trsc.15.1.32
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/trsc.15.1.32
    Download Restriction: no
    File URL: https://libkey.io/10.1287/trsc.15.1.32?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. Kuo, Yong-Hong & Leung, Janny M.Y. & Yan, Yimo, 2023. "Public transport for smart cities: Recent innovations and future challenges," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1001-1026.
    2. Zhaonan Qu & Alfred Galichon & Johan Ugander, 2023. "On Sinkhorn's Algorithm and Choice Modeling," Papers 2310.00260, arXiv.org.
    3. Andrew Johnson & Yao Zhao & Xin Xu, 2016. "Transportation Planning and Scheduling for the 2014 Special Olympics USA Games," Interfaces, INFORMS, vol. 46(3), pages 218-230, April.
    4. Li, Guoyuan & Chen, Anthony, 2022. "Frequency-based path flow estimator for transit origin-destination trip matrices incorporating automatic passenger count and automatic fare collection data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    5. Li, Tao & Wan, Yan, 2019. "Estimating the geographic distribution of originating air travel demand using a bi-level optimization model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 267-291.

    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:15:y:1981:i:1:p:32-49. 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.