Information Design & Modelling

Information Design is about processing signals and data into information in such a way that the best possible, safe and valid decisions can be made efficiently and effectively based on them. This applies equally

to support any human decision-making,
for automated decision-making in control systems,
for the development and operation of AI-based systems.

The trick here is that through clever definition of the information content with a minimal set of data, clear, unambiguous, optimal decisions can be made reliably in all relevant situations.

In addition to taking into account suitable domain knowledge, ANDATA has its own approach to information design based on appropriate machine learning methods in so-called systematic "feature engineering".

References and Examples

Projects	Contents
KISS	Preparation of sensor signal data for classification and prediction of crash severity in Integral Automotive Safety Systems
COPE	Definitionof the criticaliyt of a traffic situation wrt collision risk for the avoidance and mitigation of collisions (see https://www.fisita.org/library/fwc2023-sca-054)
VERONET	Definition of traffic situations and ratings wrt capacity reserves and congestion risk for "intelligent traffic control and management"
DIGEST	Information Designfor digital twins of the road infrastructure as CCAM Decision Support Plattform (see https://ieeexplore.ieee.org/document/10102410)
ODD	Parametrization of Operational Design Domains (ODD) in the development and validation of automated, connected driving function in the scenario management (see https://www.techrxiv.org/users/688033/articles/706569-system-and-odd-descriptions-and-their-consequences-for-vehicle-safety-and-automated-mobility)