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The market share of mobility on-demand (MoD) services strongly increased inrecent years and is expected to rise even higher once vehicle automation isfully available. These services might reduce space consumption in cities asfewer parking spaces are required if private vehicle trips are replaced. Ifrides are shared additionally, occupancy related traffic efficiency isincreased. Simulations help to identify the actual impact of MoD on a trafficsystem, evaluate new control algorithms for improved service efficiency anddevelop guidelines for regulatory measures. This paper presents the open-sourceagent-based simulation framework FleetPy. FleetPy (written in the programminglanguage "Python") is explicitly developed to model MoD services in a highlevel of detail. It specially focuses on the modeling of interactions of userswith operators while its flexibility allows the integration and embedding ofmultiple operators in the overall transportation system. Its modular structureensures the transferabillity of previously developed elements and the selectionof an appropriate level of modeling detail. This paper compares existingsimulation frameworks for MoD services and highlights exclusive features ofFleetPy. The upper level simulation flows are presented, followed by requiredinput data for the simulation and the output data FleetPy produces.Additionally, the modules within FleetPy and high-level descriptions of currentimplementations are provided. Finally, an example showcase for Manhattan, NYCprovides insights into the impacts of different modules for simulation flow,fleet optimization, traveler behavior and network representation.

FleetPy: A Modular Open-Source Simulation Tool for Mobility On-Demand Services