Development and evaluation of a calibration and validation procedure for microscopic simulation models
By: B. Brian Park, Hongtu Qi.
Contributors: Qi, Hongtu.; Virginia Transportation Research Council.; Virginia. Dept. of Transportation.; United States. Federal Highway Administration.
Series: VTRC ;; 05-CR1; VTRC (Series) ;; 05-CR1.
Publisher: Virginia Transportation Research Council; Available to the public through NTIS]
Published: 2004
Place of publication: Charlottesville, Va; [Springfield, Va
Language: eng
Number of pages: 75
Subjects: VisSim.; Traffic flow -- Simulation methods.; Traffic engineering -- Simulation methods -- Calibration.; Computer software -- Validation.; Experimental design.; Genetic algorithms.; Microscopic traffic flow.; Traffic simulation.
Description: Microscopic traffic simulation models have been widely accepted and applied in transportation engineering and planning practice for the past decades because simulation is cost-effective, safe, and fast. To achieve high fidelity and credibility for a traffic simulation model, calibration and validation are of utmost importance. Most calibration efforts reported in the literature have focused on the informal practice with a specific simulation model, but seldom did they propose a systematic procedure or guideline for simulation model calibration and validation. The purpose of this study was to develop and evaluate a procedure for microscopic simulation model calibration and validation. Three widely used microscopic traffic simulation models, VISSIM, PARAMICS, and CORSIM, were selected for model review and practice of model calibration and validation. The validity of the proposed procedure was evaluated and demonstrated via two case studies including an actuated signalized intersection and a 5-mile freeway segment with a lane-closure work zone. The simulation results were compared against the field data to determine the performance of the calibrated models. The proposed procedure yielded acceptable results for all applications, thus confirming that it was effective for the different networks and simulation models used in the study. Although the calibrated parameters generated the performance measures that were representative of the field conditions, the simulation results of the default parameters were significantly different from the field data.
Notes: Includes bibliographical references (p. 71-74).
Project manager, Michael A. Perfater.
"August 2004."
Performed by Virginia Transportation Research Council for Virginia Department of Transportation and U.S. Federal Highway Administration under contract no. 64719
Also available online (Adobe Acrobat Reader required) via the Virginia Transportation Research Council website http://www.virginiadot.org/vtrc/main/index%5Fmain.htm.
Final report; October 2002-August 2004.