United States Department of Transportation
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Emerging Data Cleaning and Fusion for Traffic Model Calibration–Data Fusion for Microsimulation Model Calibration
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2024-12-01
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[PDF-1.70 MB]
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Edition:Final Report
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Abstract:This report examines emerging data sources applicable to traffic simulation model calibration. The project team categorized these data sources based on publicly accessible datasets and emphasized their potential use for enhancing traffic simulation model calibration. The study evaluates the strengths and limitations of these emerging data sources and recommends methods for optimal data preparation and calibration. The report adapts the Federal Highway Administration’s data fusion framework and Traffic Analysis Toolbox Volume 3: Guidelines for Applying Traffic Microsimulation Modeling Software (2019 Update) to cater to traffic microsimulation model calibration (Hale et al. 2022; Wunderlich et al. 2019). This approach enables practitioners to use emerging data sources to address the unique needs of traffic microsimulation calibration. This report aims to equip users with an understanding of these potential data sources and their effective integration in traffic microsimulation and analysis. The findings represent a key point for future advancement of research, development, and application of data-driven microsimulation calibration in transportation engineering.
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