2024
DOI: 10.1088/2632-072x/ad3ed6
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Validating a data-driven framework for vehicular traffic modeling

Daniel Lane,
Subhradeep Roy

Abstract: This study presents a data-driven framework for modeling complex systems, with a specific emphasis on traffic modeling. 
Traditional methods in traffic modeling often rely on assumptions regarding vehicle interactions. 
Our approach comprises two steps: first, utilizing information-theoretic (IT) tools to identify interaction directions and candidate variables thus eliminating assumptions, and second, employing the Sparse Identification of Nonlinear Systems (SINDy) tool to establish functional … Show more

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