- Project is being funded by BMVI
- Joint research on a fully automated tram depot with autonomous trams
- Consortium led by Siemens Mobility
Siemens Mobility, Verkehrsbetrieb Potsdam GmbH (ViP), the Karlsruhe Institute of Technology (KIT), the Institute for Climate Protection, Energy and Mobility (IKEM), Codewerk GmbH, and Mapillary are planning to undertake joint research on a fully automated tram depot. The project, called “AStriD” (Autonomous Tram in Depot), is being funded by the Federal Ministry for Transportation and Digital Infrastructure (BMVI) as part of its “Modernity Fund” (mFUND) research initiative.
“AStriD is the next big milestone on the way to autonomous trams. By automating time-consuming shunting operations in the depot, we want to better support our customers in ensuring sustainable value creation over the entire lifecycle as well as guaranteeing availability,” said Sabrina Soussan, CEO of Siemens Mobility.
The research and development project will be carried out at the depot operated by Verkehrsbetrieb Potsdam and aims at developing a digital depot based on the operation of autonomous trams. The project’s technical feasibility will be demonstrated with autonomous service operations in the depot, such as running trams through a washing bay onto a siding. Depot automation is to be made commercially viable over the medium term as the first stage of autonomous tram driving. From its onset, the development project will consider the legal framework conditions necessary for the approval and operation of autonomous trams and the economic framework needed for operations. The AStriD project will be initiated in October 2019 and run for three years.
The partners have divided the project into various work packages. Siemens Mobility GmbH will develop the autonomous tram in the depot, and the tram will be integrated into the data and system landscape via the data hub provided by partner Codewerk and localized and tracked using a Mapillary digital map.
ViP will provide the tram and depot infrastructure as well as access to required data, systems and facilities, and evaluate the results from the point of view of a depot operator. “We are pleased that Potsdam has once again been selected for a project. A practical demonstration of the measures that could be promptly implemented will be helpful for us and the whole industry. We will be checking to see whether and how time-consuming shunting operations in a depot can be fully automated. This is an interesting option for our present depot as well as for a possible further base of operations located in the north of Potsdam,” said Monty Balisch, Managing Director of ViP.
The Institute for Information Processing Technology (ITIV) at KIT is contributing its expertise in the specification and digitalization of depots, the automation of processes, and the identification of necessary data. “Automated systems will evolve out of the niche, especially in the field of mobility. I see an ideal field of application in the largely closed environment of a depot,” said Professor Eric Sax of KIT. “We look forward to contributing our latest research results to AStriD and implementing them in a tram depot.”
IKEM will analyze and assess legal and economic issues in the project. “The fact that the driver is absent as a reference point for behavioral requirements, responsibility and liability presents major legal challenges and, specifically, challenges to operation approval. For commercial use scenarios, calculating costs and planning deployment, on the other hand, you can’t simply assume that only the driver is eliminated as a cost position. Other functions in the system will have greater importance, and the new technology must also be considered as a factor in operations and costs. There will in fact be a completely new operator model for the depot, and the project will develop this model and, as far as possible, support it with cost estimates. IKEM will answer such questions that come up in the project working with the project partners and relevant external parties,” said Matthias Hartwig, Team Leader, Mobility, IKEM.
Codewerk specializes in industrial systems and develops, among other things, software for data communication in rolling stock. In this project, Codewerk will handle the cloud and edge components for integrating the data of all systems. “Automated driving has the potential to make rail a more attractive transportation option. With AStriD, we at Codewerk want to invest in a climate-friendly technology and strengthen our competitive position,” said Christian Grund, Managing Director of Codewerk.
Mapillary will provide the project with a cloud-based online platform for the collaborative collection and provision of street images and relevant information. The data will be analyzed with artificial intelligence and processed to provide digital maps. “The spectrum of mobility is changing, and in coming years both autonomous cars and trams will be operating in the streets and making completely new demands on digital maps. Maps will no longer just be needed for people wanting to reach a destination, but also in digital form for different types of vehicles operating autonomously along their routes. This is where Mapillary’s expertise in analyzing images of public space plays a role. By using artificial intelligence to analyze images, we enable the tram to autonomously recognize and understand its surroundings,” said Peter Kontschieder, Scientific Director of Mapillary.
About mFUND at the BMVI:
As part of the mFUND research initiative, the BMVI has been funding research and development projects centered on data-based digital applications for Mobility 4.0 since 2016. In addition to providing financial support, mFUND relies on various types of events to promote the networking of players from politics, business and research, and provide access to the mCLOUD data portal. Further information is available at: www.mfund.de.
Contact for journalists:
Tel. +49 (0)30 408 1870 17
[button icon=”hb-moon-calendar-5″ title=”Press information: Link
IKEM – Institute for Climate Protection,
Energy and Mobility e.V.