United States Department of Transportation
i
Calibration of steady-state car-following models using macroscopic loop detector data.
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2010-05-01
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[PDF-542.94 KB]
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Edition:Final report.
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Abstract:The paper develops procedures for calibrating the steady-state component of various car following models using
macroscopic loop detector data. The calibration procedures are developed for a number of commercially available
microscopic traffic simulation software, including: CORSIM, AIMSUN2, VISSIM, Paramics, and INTEGRATION. The
procedures are then applied to a sample dataset for illustration purposes. The paper then compares the various steady-state
car-following formulations and concludes that the Gipps and Van Aerde steady-state carfollowing models provide the highest
level of flexibility in capturing different driver and roadway characteristics. However, the Van Aerde model, unlike the Gipps
model, is a single-regime model and thus is easier to calibrate given that it does not require the segmentation of data into two
regimes. The paper finally proposes that the car-following parameters within traffic simulation
software be link-specific as opposed to the current practice of coding network-wide parameters. The use of link-specific
parameters will offer the opportunity to capture unique roadway characteristics and reflect roadway capacity differences
across different roadways.
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