MINGA
Munich's Automated Public Transport with Ridepooling, Solo Bus and Bus Platoons
Start: 03/2023
End: 06/2027
In the context of the actual climate situation, society’s growing need for mobility requires new mobility solutions that are efficient and environmentally friendly. This applies in particular to Munich and the surrounding area. Here, a massive increase in population came with an equally significant surge of traffic volume. Every day, more than half a million commuters enter or leave the city, and most of them do so in their private car.
The project MINGA is researching alternatives for public transport on fixed routes. The focus lies on the development of novel, innovative, flexible and customer-oriented services that transport passengers conveniently, autonomously and transfer-free, so-called on-demand services (ODM). In addition, buses driving in a line, so-called platoons, and an autonomous solo bus are being tested in real passenger operations and interlinked with the on-demand services. The integration into public transport structures, including fare simulations, is being investigated, and options for a permanent business model are being evaluated. Furthermore, the legal framework conditions for the operating permit and the harmonization of existing regulations are being investigated.
Together with its partners Stadtwerke München (München municipal utilities), Ebusco and KIT, the FZI will develop the platooning function for buses. Here, a bus enhanced with sensors will be enabled to automatically follow a human-controlled bus within a platoon. The FZI is focusing on the development of algorithms for trajectory planning and control as well as on the test concept for validating the automated driving function of the bus.
Intelligent Transportation Systems and Logistics
Intelligente Lösungen für den Transport von Menschen und Gütern für die Mobilität der Zukunft stellen einen Schwerpunkt der FZI-Forschung dar. Dazu entwickelt das FZI integrierte Mobilitätssysteme – von der Fahrzeugautomatisierung über die Anwendung von KI in Verkehrssystemen bis zur urbanen Mobilität und Logistik.