Abstract
Transport simulators can be used to compute the equilibrium between transportation 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. Finally, 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 ModelsBibtex (click to select)
@unpublished{JavaudinDePalma2025,
author = "Lucas Javaudin and André de Palma",
title = {{METROPOLIS2: Bridging theory and simulation in agent-based transport modeling}},
year = 2024,
month = 03,
}