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METROPOLIS2: Bridging Theory and Simulation in Agent-Based Transport Modeling

Lucas Javaudin and André de Palma ()
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André de Palma: Université de Cergy-Pontoise, THEMA

No 2024-03, THEMA Working Papers from THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise

Abstract: Transport simulators can be used to compute the equilibrium between transporta- tion demand and supply within complex transportation systems. However, despite their theoretical foundations, there is a lack of comparative analysis between simula- tor results and theoretical models in the literature. In this paper, we bridge this gap by introducing METROPOLIS2, a novel mesoscopic transport simulator capable of simulating agents’ travel decisions (including mode, departure-time, and route choice), based on discrete-choice theory within a dynamic, continuous-time framework. We demonstrate METROPOLIS2’s functionality through its application to the single-road bottleneck model and validate its ability to replicate analytical results. Furthermore, we provide a comprehensive overview of METROPOLIS2 in large-scale scenarios. Fi- nally, we compare METROPOLIS2’s results with those of the original METROPOLIS1 simulator in a simulation of Paris, highlighting its speed and ability to converge to an equilibrium.

Keywords: transport simulation; agent-based modeling; bottleneck; dynamic traffic assignment; discrete-choice models (search for similar items in EconPapers)
JEL-codes: C63 R4 (search for similar items in EconPapers)
Date: 2024
New Economics Papers: this item is included in nep-cmp, nep-dcm, nep-hme, nep-tre and nep-ure
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