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Using GPS and ITS Data to Calibrate the Micro
Simulation Model VISSIM
Principal Investigator:
Dr. Fengxiang Qiao
Sponsoring Agency:
Southwest Region University Transportation
Center, SWUTC
Period:
September 1, 2005 ~ August 31, 2006
Research
Abstract:
VISSIM, as one of
the most popular microscopic, behavior-based
multi-purpose traffic simulation programs, has
become an invaluable and cost-reducing tool for
transportation planning and traffic engineering.
VISSIM simulates lane changing behaviors and
driving behaviors, including two versions of the
Wiedemann model: urban driver and freeway
driver. The car-following mode of the freeway
driver model involves 10 tunable parameters: CC0
through CC9. The calibration of these and other
parameters are very essential to the simulation
results and thus have attracted more and more
attentions from researchers. In this projects,
the real time ITS data and on-road GPS data will
be used as one of the resources for the
calibration and evaluation of the simulation
model VISSIM. The test beds will be selected in
Houston with various scenarios designed, while
the calibration procedures and corresponding
computer programs will be constructed. Genetic
Algorithm and other possible optimal searching
algorithms will be used as the criteria of
calibration. With the calibrated parameters,
simulated and measured travel variables (such as
speed, travel time, queue length, etc.) under
different travel patterns will be compared and
evaluated. Corresponding suggestions will be
recommended to researchers and engineers.
The goal of this
research is to develop a methodology and the
corresponding procedure for the calibration of
VISSIM parameters. To achieve this objective,
the research will: (1) identify the proper
calibration methodologies considering various
possible scenarios; (2) design data collection
plan and conduct the data collection in the
pre-selected test beds; and (3) compare and
evaluate simulated and measured travel variables
and make recommendations.
Research
Information
For further information about the research,
please contact Dr. Fengxiang Qiao by telephone
at (713) 313-1915 or by e-mail at
qiao_fg@tsu.edu
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