FleetPy

What SUM achieved: SUM extended FleetPy to model the integration of ridepooling with fixed line public transport and used it in Jerusalem, Geneva and Munich. In these cases, FleetPy generated design evidence for real decision contexts, including improved DRT rail coordination and measurable pooling potential.

Life beyond SUM: FleetPy has one of the clearest post project routes in the portfolio. It will continue as an open simulation environment supported by follow-on research funding and used by cities and PT actors as a planning and experimentation tool.

Target users: Cities, PT operators, shared mobility operators, MaaS providers, researchers and policy makers.

Main barriers: The pace of future development depends on funded research positions, although current follow-on support already gives it continuity.

Post project actions and owner: TUM will maintain and expand FleetPy through funded projects from 2026 onward.