SAGA: An Activity-based Multi-modal Mobility ScenarioGenerator for SUMO

In this paper, we define a workflow and a toolchain to support fast mobility scenarioprototyping based on open data and open-source software. SAGA isan activity-basedmulti-modal mobility scenario generator for the Simulation ofUrban MObiltiy (SUMO).Starting from an OpenStreetMap (OSM) file, SAGA extracts the data required to build amulti-modal scenario, and in a step-by-step fashion, generates the configurations needed toexecute it, including the intermediate steps required to refine the scenario with additionaldata, allowing the iterative improvement of realism and representativeness.The workflow implemented, extended, and automated by SAGA wasdeveloped whilehand-crafting the Monaco SUMO Traffic (MoST) Scenario. Based on the fast prototypingcapabilities added by SAGA, the creation of a multi-modal mobility scenario is readilyachievable, and the incremental process to fine-tune it is supported by a workflow insteadof being solely based on expert knowledge and experience.Based on previous experience, the generation of the first working prototype of a city-scale multi-modal mobility scenario may take months of work and expert knowledge. SAGAautomatically generates such a prototype, and all the intermediate configuration files aremade available for further iterative improvement