IDEAS home Printed from https://ideas.repec.org/a/spr/joptap/v115y2002i3d10.1023_a1021211432118.html
   My bibliography  Save this article

Optimal Decentralized Regulation for a Class of Flow Networks

Author

Listed:
  • J. Lei

    (Bell Laboratories)

  • Ü. Özgüner

    (Ohio State University)

Abstract

Optimal decentralized regulation is considered for a class of flow networks where, at each intersection, a selective switch links a single input–output pair at anytime. It is shown that a special case of the above is an urban traffic network with signalized intersection. We analyze first the traffic situation of an isolated intersection based on the point-queuing model of traffic and model the intersection dynamics via two states: either unsaturated or saturated. According to the different traffic characteristics of the two states, we design two intersection controllers and then combine them into one hybrid controller. This hybrid controller is extended to the multi-intersection case and becomes a decentralized hybrid intersection controller. A simulation study is given in this paper and it shows that this decentralized hybrid intersection control method can improve the performance of traffic networks and by extension the performance of more general flow networks.

Suggested Citation

  • J. Lei & Ü. Özgüner, 2002. "Optimal Decentralized Regulation for a Class of Flow Networks," Journal of Optimization Theory and Applications, Springer, vol. 115(3), pages 659-684, December.
  • Handle: RePEc:spr:joptap:v:115:y:2002:i:3:d:10.1023_a:1021211432118
    DOI: 10.1023/A:1021211432118
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1021211432118
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1023/A:1021211432118?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.

    References listed on IDEAS

    as
    1. Han, Bin, 1996. "Optimising traffic signal settings for periods of time-varying demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(3), pages 207-230, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ennio Cascetta & Mariano Gallo & Bruno Montella, 2006. "Models and algorithms for the optimization of signal settings on urban networks with stochastic assignment models," Annals of Operations Research, Springer, vol. 144(1), pages 301-328, April.
    2. D’Acierno, Luca & Gallo, Mariano & Montella, Bruno, 2012. "An Ant Colony Optimisation algorithm for solving the asymmetric traffic assignment problem," European Journal of Operational Research, Elsevier, vol. 217(2), pages 459-469.

    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:spr:joptap:v:115:y:2002:i:3:d:10.1023_a:1021211432118. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.