An Operational and Transparent VISSIMTM Calibration Method for Transportation Professionals in Georgia
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Saracco, Matteo
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Abstract
VISSIMīĸ (hereinafter VISSIM) is one of the premiere microscopic traffic simulation software packages available on the market, and has been used on projects worldwide. PTV, the company which produces, maintains, and licenses VISSIM provides US users with default car- following model parameter values, desired speed distributions, vehicle compositions, etc. Though these may represent a good starting point for any simulation effort within the country, the variety and plurality in the nature, characteristics, and behavior of traffic across different regions mean that for any simulation to be accurate, default parameter values may need to be calibrated to field conditions.
This thesis seeks to contribute to the growing body of knowledge in both the research and practice realms of VISSIM calibration. This thesis proposes a novel approach to the complex calibration problem that tries to bridge the gap between standard procedures in transportation practice and calibration efforts conducted at academic and research institutions. By focusing on what the state of the practice (i.e., calibration procedures used by transportation professionals) and the state of the art (i.e., calibration procedures devised as part of research efforts) are lacking, the proposed calibration method provides a procedure that is operational, transparent, reasonable in data requirements, procedural, and flexible.
After a thorough literature review in Chapter 1, Chapter 2 focuses on proper model building principles, which are essential preparatory steps modelers must conduct before calibrating any model. Chapter 3 then presents a general calibration method, along with a discussion of the guiding principles. Chapters 4 and 5 respectively explore two applications of the general calibration method: interrupted flow facilities (such as arterials and other signal-controlled roadways, in Chapter 4), and uninterrupted flow facilities (such as freeways, in Chapter 5). Finally, Chapter 6 presents some conclusions and future research directions.
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2024-04-30
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