SUMO4AV: An Environment to Simulate Scenarios for Shared Autonomous Vehicle Fleets with SUMO
summary
SUMO4AV is a SUMO-based pipeline that maps OpenStreetMap POIs into SUMO edges, builds demand (evening scenario in Mannheim) and runs fleet experiments with three routing modes simple nearest vehicle, look-ahead 900s, and shared multi-passenger. The toolset includes an OSM POI-to-edge mapper, parking-area converter and scenario generator, runs recursive experiments over fleet sizes, and exports wait time, cost per km and CO2 results. Evaluation shows larger fleets cut wait time, raise cost per km due to fixed fleet costs, and shared trips reduce CO2. The code is open source and the workflow executes successfully.
AI-written summary · about