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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.

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.