IDEAS home Printed from https://ideas.repec.org/p/ema/worpap/2024-03.html
   My bibliography  Save this paper

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

Author

Listed:
  • Lucas javaudin
  • André de Palma

    (Université de Cergy-Pontoise, THEMA)

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.

Suggested Citation

  • Lucas javaudin & André de Palma, 2024. "METROPOLIS2: Bridging Theory and Simulation in Agent-Based Transport Modeling," THEMA Working Papers 2024-03, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    • Handle: RePEc:ema:worpap:2024-03
    as

    Download full text from publisher

    File URL: https://thema.u-cergy.fr/IMG/pdf/2024-03.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    transport simulation; agent-based modeling; bottleneck; dynamic traffic assignment; discrete-choice models;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ema:worpap:2024-03. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Stefania Marcassa (email available below). General contact details of provider: https://edirc.repec.org/data/themafr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.