Development of a system of co-operating vehicles for a sustainable and individualised public transport system


Figure 1: 3D-Rendering NeMo.bil
Automated ultra-light vehicles (NeMo.Cab) provide the first and last mile of passenger transport. This concept for individualised public transport is currently under development. It combines the respective advantages of individual and public mobility.

INYO Mobility GmbH


Development of a system of co-operating vehicles for a sustainable and individualised public transport system

The NeMo.bil project is coordinated by INYO Mobility GmbH and is developing an innovative, swarm-like mobility system. This enables a novel form of sustainable and needs-based transportation of people and goods in rural areas. To this end, a new systemic approach is being pursued, based on two different vehicles: NeMo.Cab automated ultralight vehicles and NeMo.Pro larger towing vehicles.

The smaller NeMo.Cabs seat up to four people. They form a convoy on longer routes, providing the first and last mile of passenger transport.
The convoy is pulled by the larger automated vehicle (NeMo.Pro). NeMo.Pros are also used to transport 15-20 people and act as mobile charging stations. This allows the convoy to travel longer distances and at higher speeds. By combining and merging the differently designed vehicles, the overall system (NeMo.bil) achieves unrivalled energy efficiency.

The convenience of owning a car is combined with the energy efficiency of public transport in a new way thanks to the demand-driven approach. Citizens can make their mobility wishes known via an app. The transport requests are collected and optimised via an internet platform. For the first time, the NeMo.bil approach creates a personalised public transport service that allows people to travel to any start and end point without having to change buses. The goals of this on-demand mobility service are to improve user acceptance and to reduce costs, resources and emissions.

The players

To achieve these ambitious goals, 20 companies and organisations are working together on an interdisciplinary basis in the project consortium. The German Federal Ministry for Economic Affairs and Climate Protection (BMWK) is providing 17.1 million euros in funding for the project.

Together with other partners, the FIWARE Foundation is developing the software for planning and controlling the swarm system. CADFEM simulates the flow resistance of the convoy and develops virtual 3D models of the city and the surrounding area. Inyo Mobility GmbH is developing the autonomous vehicle NeMo.Cab and HOLON GmbH is developing the larger towing vehicle NeMo.Pro. The TU Dortmund, TH Augsburg and PHOENIX CONTACT E-Mobility GmbH are also involved, conducting sociological simulation experiments, integrating rolling test vehicles and developing a bi-directional charging system.

Contribution of the Institute for AI Safety and Security

In this project, the Institute for AI Safety and Security ensures the connectivity of the project's digital solutions to these comprehensive data and service ecosystems in the field of mobility. In particular, it will promote the transfer into practice and prepare for scaling.

The Institute's tasks also include the design and creation of trustworthy data spaces and their networking. Integrating approaches for determining and guaranteeing data quality and provenance plays an important role here. Freely available software modules and freely available or open standards, e.g. in connection with the connectors, are essential.

In order to ensure a high level of data security and privacy, Privacy Enhancing Technologies (PET) and modern encryption approaches are provided to protect the data used. The Institute can draw on the expertise gained in the BMWK-funded lighthouse projects Catena-X and Gaia-X 4 Future Mobility.

Figure 2: The digital platform uses services and interfaces to trusted data spaces, graphic: FIWARE Foundation e.V.

FIWARE Foundation e.V.


Project approach

The various project partners work together on an interdisciplinary basis and proceed as follows: First, qualitative and quantitative data on user behaviour is collected. This data will then be used for agent-based simulations of mobility systems. The knowledge gained in this way enables the development of a customised open source operating and control platform.

At the same time, the autonomous train and lightweight vehicles, the scalable hydrogen system and the coupling interface are being developed.

These innovations lead to approaches that accelerate the digital transformation. The intensive use of data from traffic areas and vehicles forms the basis for intermodal mobility and opens up new business models for various providers.


Johannes Unruh

Research Associate
German Aerospace Center (DLR)
Institute for AI Safety and Security
Safety-Critical Data Infrastructure
Rathausallee 12, 53757 Sankt Augustin

Karoline Bischof

Consultant Public Relations
German Aerospace Center (DLR)
Institute for AI Safety and Security
Business Development and Strategy
Rathausallee 12, 53757 Sankt Augustin