A data-driven agent-based model of congestion and scaling dynamics of rapid transit systems

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Nasri Bin Othman, Erika Fille T. Legara, Vicknesh Selvam, Christopher P. Monterola

Published: 01 Jan 2015, Last Modified: 01 Mar 2025J. Comput. Sci. 2015EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Develop a full-scale data-driven agent-based model (ABM) of rapid train system (RTS).•Model integrates a route choice model and results are validated using smart card data.•Analyze congestion and scaling dynamics of RTS using the developed ABM.•Propose a procedure that captures the penultimate station effect in RTS.