Profilregion Mobilitätssysteme Karlsruhe - TP1: Introductory Concepts for Cooperative and Connected Cars

  • contact:

    Prof. Dr.-Ing. Peter Vortisch
    Dipl.-Ing. Sebastian Buck
    Marvin Baumann, M.Sc.

  • funding:

    Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg

    Ministerium für Wirtschaft, Arbeit und Wohnungsbau Baden-Württemberg

  • partner:

    KIT - Institut für Mess- und Regelungstechnik (MRT)

    KIT - Institut für Arbeitswissenschaft und Betriebsorganisation (IFAB)

    KIT - Institut für Hochfrequenztechnik und Elektronik (IHE)

    Forschungszentrum Informatik (FZI)

    Fraunhofer-Institut für System- und Innovationsforschung (ISI)

    Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (IOSB)

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Problem Statement

Autonomous driving is already part of a foreseeable future. The future of connected, cooperative driving is far more uncertain. This is largely dependent on the penetration rate of equipped vehicles, since at least one partner must always be present for communication and cooperation. Great advantages have already been observed for a penetration rate of more than 50 %. However, rates of this magnitude are estimated to be ten years away from market introduction in Germany. In order to ensure their spread and to be able to reach this point, cooperative driving functions already have to ensure a systematic benefit, even at lower enforcement rates.


In this context, the subproject "iFORESEE" aims to prove that cooperative and connected driving is a technology that is close to the market and already represents a market value with low penetration rates and low levels of automation (VDA/SAE levels 1 to 3). In the project, new technical solutions will be developed (maneuver planning, human-machine communication, communication technology), and the influences on user acceptance, traffic flow, as well as on society and the market will be investigated.


The IfV is responsible for the analysis of the traffic impact of the developed systems, especially depending on different penetration rates. This is done using microscopic traffic flow simulation (PTV Vissim). In addition, the IfV contributes its traffic engineering know-how during the development and optimization of the cooperative driving functions.