biostudies-literatureSaval AAgence Nationale de la Recherchee0281658https://www.ebi.ac.uk/biostudies/studies/S-EPMC9987808biostudies-literatureUnknown18(3)Continuous improvement in computing power allowed for an increase of the scales micro-traffic models can be used at. Among them, agent-based frameworks are now appropriate for studying ordinary traffic conditions at city-scale, but remain difficult to adapt, especially for non-computer scientists, to more specific application contexts (e.g., car accidents, evacuation following a natural disaster), that require integrating particular behaviors for the agents. In this paper, we present a built-in model integrated into the GAMA open-source modeling and simulation platform, allowing the modeler to easily define traffic simulations with a detailed representation of the driver's operational behaviors. In particular, it allows modelling road infrastructures and traffic signals, change of lanes byPloS oneDealing with mixed and non-normative traffic. An agent-based simulation with the GAMA platform.PMC9987808ANR-16-CE39-0011-01Saval ADaude ECaron CChapuis KTranouez PTaillandier PMinh DPfalseDealing with mixed and non-normative traffic. An agent-based simulation with the GAMA platform.Continuous improvement in computing power allowed for an increase of the scales micro-traffic models can be used at. Among them, agent-based frameworks are now appropriate for studying ordinary traffic conditions at city-scale, but remain difficult to adapt, especially for non-computer scientists, to more specific application contexts (e.g., car accidents, evacuation following a natural disaster), that require integrating particular behaviors for the agents. In this paper, we present a built-in model integrated into the GAMA open-source modeling and simulation platform, allowing the modeler to easily define traffic simulations with a detailed representation of the driver's operational behaviors. In particular, it allows modelling road infrastructures and traffic signals, change of lanes by2023-01-01T00:00:00Z20232025-04-21T19:49:12.129Z2025-04-05T17:45:00.631ZS-EPMC99878083687769110.1371/journal.pone.0281658