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Profilbild von Prof. Dr.-Ing. Markus Lienkamp, Lehrstuhlinhaber für Fahrzeugtechik an der TU München sowie MCube Co-Direktor und Mitglied des MCube Strategieteams.
  • Strategy team

Prof. Dr.-Ing. Markus Lienkamp

TUM

Professor of Automotive Engineering

About me

What fascinates you about the Munich Innovation Powerhouse?

  • The commitment of young people who want to shape their future city and mobility within it.

What key challenge do you see for the future of mobility in general?

  • Politics, society, science and industry are not all pulling in the same direction at the moment.

What perspective or expertise do you bring to MCube, which project do you lead or which topic do you exemplify?

  • Decades of experience in the automotive sector. MCUBE Board of Directors, Topic: Autonomous driving

"For me, MCube means..."

  • The most exciting and craziest project since my time at TUM.

Markus CV: Markus researches and teaches in the following areas: Electromobility with the aim of creating new vehicle concepts, driver assistance systems up to automated driving as well as mobility data and mobility concepts. He is the scientific director of the Munich School of Engineering, the Electromobility Science Center and the CREATE project Singapore.

After studying mechanical engineering at TU Darmstadt and Cornell University, he completed his doctorate at TU Darmstadt (1995). After an international trainee program at Volkswagen and a stay at the then joint venture between Ford and Volkswagen in Portugal, he headed the brake test in commercial vehicle development in Wolfsburg. He later became head of the "Electronics and Vehicle" research department in Volkswagen AG's Group Research division. One focus was on vehicle concepts for electromobility. Prof. Lienkamp has been teaching at the Chair of Automotive Engineering at TUM since November 2009 and has headed the chair since October 2010, succeeding Prof. Dr. Bernd Heißing. Prof. Lienkamp is also a board member of the VDI Society for Automotive and Traffic Engineering.

Principal Investigator

The project investigates how various car-sharing models at residential locations can offer an attractive alternative to the little-used private car.

DatSim ensured the synergistic bundling of mobility data in the cluster, supported the evaluation of measures and enabled the simulation of relevant scenarios.

We have tested an innovative car-sharing model with electric vehicles in a real-world laboratory. The special feature: Only a closed circle of neighbors shared the cars.

With the Wiesn Shuttle project, we have proven that autonomous driving is already possible in complex, urban environments.

Projects

The project investigates how various car-sharing models at residential locations can offer an attractive alternative to the little-used private car.

We are creating a digital basis for comprehensively mapping mobility in the metropolitan region and testing the effectiveness and safety of future measures before they are introduced.

DatSim ensured the synergistic bundling of mobility data in the cluster, supported the evaluation of measures and enabled the simulation of relevant scenarios.

We have tested an innovative car-sharing model with electric vehicles in a real-world laboratory. The special feature: Only a closed circle of neighbors shared the cars.

With the Wiesn Shuttle project, we have proven that autonomous driving is already possible in complex, urban environments.

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