Mobility

Reinventing mobility to meet the grand global challenges: At TUM we are shaping the sustainable mobility of the future. Autonomous driving, air taxis and new means of transportation such as the Hyperloop are already reality for us. Our intelligent concepts for traffic and transport planning make urban and rural areas more liveable and attractive. Discover our solutions for the mobility of tomorrow.


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    • Mobility
    • Reading time: 3 MIN

    Changes in mobility behavior

    Call to participate in citizen's research project

    A new study by the Technical University of Munich (TUM) will focus the future of mobility in the greater Munich metropolitan area. All residents of the city and the surrounding areas will have the opportunity to participate directly and help build an important basis for future political decisions. Online surveys conducted from May to December 2022 will capture residents' behavior relating to mobility, energy use and consumption. Here the primary focus is on the specific impacts of the State relief package which includes a fuel tax cut and the Nine Euro Ticket for local public transportation for three months.

  • Das Team von DeepDrive.
    • Mobility, Sustainability, Entrepreneurship
    • Reading time: 4 MIN

    Plug-and-play meets the electric car

    Start-up "DeepDrive" builds platform with integrated electric drive technologies

    Developing new electric car models is complicated and expensive. The founders of the start-up DeepDrive, which began at the Technical University of Munich (TUM), want to change that: The modular platforms they have developed with integrated batteries and highly efficient in-wheel motors include drive system, steering, brakes and chassis. Manufacturers can use these platforms as a basis for quickly building new models and bringing them to market.

  • Prof. Markus Lienkamp believes in the future of autonomous motorsports.
    • Artificial Intelligence, Mobility, Entrepreneurship, Research news
    • Reading time: 4 MIN

    "Formula 1 could see driverless race cars as early as 2025"

    Interview with Prof. Markus Lienkamp on autonomous motor sports

    A team at the Technical University of Munich (TUM) has developed software which lets race cars compete in motor sports without a driver. The TUM Autonomous Motorsport Team was able to take 1st and 2nd place at the Autonomous Challenges in Indianapolis and most recently at the CES in Las Vegas. Does this technology have the potential to revolutionize racing? Markus Lienkamp, Professor for automotive technology, tells us the answer.

  • The TUM Autonomous Motorsport Team is Vice-World Champion in Autonomous Racing.
    • Artificial Intelligence, Mobility, Entrepreneurship, Research news
    • Reading time: 3 MIN

    TUM Is Vice-World Champion in Autonomous Racing

    Autonomous Challenge @ CES in Las Vegas:

    The team from the Technical University of Munich (TUM) entered the Autonomous Challenge @CES in Las Vegas as defending champions, seeking to test their limits once again. The team took second place in the race on Friday, employing spectacular overtaking maneuvers in a head-to-head duel with the PoliMOVE team. In the race, TUM’s artificial intelligence controlled racing car reached top speeds of up to 270 km/h. The team received a prize of 50,000 US-Dollars for their excellent performance.

    • Mobility, Sustainability, Entrepreneurship
    • Reading time: 3 MIN

    Shorter distances for a 15-minute city

    Plan4Better startup develops urban planning tool for cycle paths and walking routes

    What could motivate city dwellers to drive less? The startup Plan4Better has developed an urban planning tool to design cities where everyday destinations can be reached on foot or by bicycle within 15 minutes. The Technical University of Munich (TUM) spinout has received the City of Munich Innovation Award among other honors.

  • Green spaces are important elements in the urban planning of the future.
    • Mobility, Sustainability, Campus news, TUM in the media
    • Reading time: 2 MIN

    "Green city of the Future" short-listed for Sustainability Award

    Vote online before November 15!

    Cities and urban lifestyles are a major cause of climate change. At the same time, cities are increasingly affected by the impacts of climate change, including extreme events such as heatwaves and heavy rainfall. The “Green City of the Future” project, exploring solutions to address climate change and densification of the built environment in growing cities, has been shortlisted as a finalist for the German Sustainability Award in the field of research. It’s now over to the public to decide on the winning project via an online vote.

    • Artificial Intelligence, Mobility
    • Reading time: 4 MIN

    TUM wins the Indy Autonomous Challenge

    Technical University of Munich's AI-controlled race car makes fastest time in Indianapolis

    The Indy Autonomous Challenge was held at the Indianapolis Motor Speedway on Saturday – a race completely without drivers. Nine teams from universities around the world competed against one another with race cars controlled using Artificial Intelligence (AI). The Technical University of Munich (TUM) team made the best time with an average speed of 218 kilometers per hour. That won the young researchers first place and a cash prize of one million US dollars.

    • Mobility, Sustainability, Research news
    • Reading time: 3 MIN

    Electric trucks: ultra-fast charging in the megawatt range

    Consortium developing solution for low-emission cargo transport

    It is an ambitious goal: By 2030 the German government aims to reduce carbon dioxide emissions by 65 percent compared to 1990. But how? With partners from industry and research institutes, scientists at the Technical University of Munich (TUM) are working on prototypes for an electric-powered truck and the charging station it will need.

    • Artificial Intelligence, Mobility, Research news
    • Reading time: 6 MIN

    “The road of the future is digital”

    Interview with Prof. Alois Knoll on the benefits of intelligent traffic systems

    A team at the Technical University of Munich (TUM) has been working in the Providentia and Providentia++ projects to equip busy roads with advanced sensor technology. With artificial intelligence (AI), the data are digitally twinned to create a model of the real-world traffic situation. In this interview project leader Alois Knoll, a professor of Robotics, Artificial Intelligence and Embedded Systems, explains the underlying vision – and what needs to be done to keep pace with the future of digital mobility.