IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

A Daily Flow Profile of Traffic in an Urban Traffic Corridor: The Nigerian Experience

Listed author(s):
  • S. I. Oni
  • Charles Asenime


    (University of Lagos, Nigeria
    Indus Institute of Higher Education (IIHE) karachi Pakistan,)

Registered author(s):

    In the commercial city of Lagos, Nigeria, traffic congestion poses a great challenge to commuters, particularly businessmen and workers that need to keep appointments and report in offices timely. A great amount of productive man-hours is therefore wasted in traffic congestion. This coupled with the psychological stress, and the loss of potential income that commuters experience in traffic jams present a frustrating scenario to those affected. As a result, traffic managers are motivated to understand traffic information through data generated from vehicle counts as a means of guiding road users on how to avoid traffic jams in routes. This is an urban traffic corridors problem, which plays an important role in urban traffic network analysis. Unfortunately, till date, there is sparse documented information on urban traffic corridors relevant to Lagos, Nigeria. In this paper, through the application of the screen line traffic count methodology, we investigate the daily flow profile of traffic.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Article provided by Department of Business Administration in its journal Indus Journal of Management & Social Science (IJMSS).

    Volume (Year): 2 (2008)
    Issue (Month): 2 (December)
    Pages: 99-109

    in new window

    Handle: RePEc:iih:journl:v:2:y:2008:i:2:p:99-109
    Contact details of provider:
    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    in new window

    1. Tang, T.Q. & Huang, H.J. & Mei, C.Q. & Zhao, S.G., 2008. "A dynamic model for traffic network flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2603-2610.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:iih:journl:v:2:y:2008:i:2:p:99-109. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Faraz Ahmed)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.