Automated public service bus for local public transport

The Institute of Automobile Management (IAM) is investigating and testing the technology option of autonomous driving in the local public transport system in Waiblingen, a town in the Rems-Murr district of Southern Germany, as its contribution to the AMEISE collaborative research project. In a real-world laboratory, the local population is involved in testing and analysing the use of [autonomous] buses in the local public transport system.

The objective of the research project, which is taking place in the “Ameisenbühl” district of Waiblingen, is to develop and study highly automated M2 class vehicles (small buses) with zero-emission propulsion to convey passengers in the local public transport system. The research adopts a holistic approach and involves the integration of innovative traffic infrastructure concepts, their incorporation into the operation of the local public transport system in the urban environment, and the involvement of local stakeholders. Inclusion is taken into account by paying particular attention to the needs of those with an impairment.

Information on projects and work which prepared, supported, monitored and facilitated the AMEISE project can be found on the pages for our Completed research projects and Current research projects.


Media and links to the AMEISE project

For videos and further information, please use the following links:

Autonomous bus service in Waiblingen

AMEISE collaborative third-party funded project

Youtube video AMEISE in Waiblingen

Risk analyses of automated vehicles in the traffic environment

Various factors can become risks for an automated/autonomous bus service. Risk analyses must be carried out in advance in order be able to identify these risks. They require knowledge of the exact route and various factors along it. The risk analysis can then serve as the basis for drawing up measures which decrease the risk or even eliminate it altogether.

The first stage is to analyse the various nodes and assign them a risk classification. This states how high the accident risk is at that particular node.

Subsequently, methods to reduce the risk category can be worked out with the aid of a more detailed analysis (e. g. calculation of the Time to Collision). These may include speed reduction or assistance by means of further sensors. After the measures have been worked out, a new risk classification can be performed.

Real-life laboratory for autonomous driving at Hess Technologie- und Zukunftspark in Waiblingen

The overall aim of the Hess Technologie- und Zukunftspark project in Waiblingen is to establish an innovation platform in the form of a real-world laboratory in order to develop and study autonomous, zero-emission powered transport vehicles and their integration into the operation of the local public transport network, paying due consideration to special groups of people.

Our present infrastructure and the current state of the art mean that the use of autonomous vehicles still poses a great deal of risk for all road users and passengers. This provided the impetus for this project to analyse the autonomous driving system and progressively improve it, and to be involved in its development. Here you can find further information on the real-world laboratory in Waiblingen.

The RAFT project prepares the ground for the AMEISE project and contributes important findings and technology.


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