IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt7bs9b2v3.html
   My bibliography  Save this paper

Calibration of VISSIM for a Congested Freeway

Author

Listed:
  • Gomes, Gabriel
  • May, Adolf
  • Horowitz, Roberto

Abstract

A procedure for constructing and calibrating a detailed model of a freeway using VISSIM is presented and applied to a 15-mile stretch of I-210 West in Pasadena, California. This test site provides several challenges for microscopic modeling: an HOV lane with an intermittent barrier, a heavy freeway connector, 20 metered onramps with and without HOV bypass lanes, and three interacting bottlenecks. Field data used as input to the model was compiled from two separate sources: loop-detectors on the onramps and mainline (PeMS), and a manual survey of onramps and offramps. Gaps in both sources made it necessary to use a composite data set, constructed from several typical days. FREQ was used as an intermediate tool to generate a set of OD matrices from the assembled boundary flows. The model construction procedure consisted of: 1) identification of important geometric features, 2) collection and processing of traffic data, 3) analysis of the mainline data to identify recurring bottlenecks, 4) VISSIM coding, and 5) calibration based on observations from 3). A qualitative set of goals was established for the calibration. These were met with relatively few modifications to VISSIM's driver behavior parameters (CC-parameters).

Suggested Citation

  • Gomes, Gabriel & May, Adolf & Horowitz, Roberto, 2004. "Calibration of VISSIM for a Congested Freeway," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7bs9b2v3, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt7bs9b2v3
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/7bs9b2v3.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Horowitz, Roberto & May, Adolf & Skabardonis, Alex & Varaiya, Pravin & Zhang, Michael & Gomes, Gabriel & Munoz, Laura & Sun, Xiaotian & Sun, Dengfeng, 2005. "Design, Field Implementation and Evaluation of Adaptive Ramp Metering Algorithms," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5p06q6k5, Institute of Transportation Studies, UC Berkeley.
    2. Danish Farooq & Janos Juhasz, 2019. "Simulation-Based Analysis of the Effect of Significant Traffic Parameters on Lane Changing for Driving Logic “Cautious” on a Freeway," Sustainability, MDPI, vol. 11(21), pages 1-15, October.

    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:cdl:itsrrp:qt7bs9b2v3. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.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.