Mobility

The introduction of the nine-euro ticket led to changes in the mobility behavior of many people in the Munich region. A study conducted at the Technical University of Munich (TUM) shows that more than 20 percent of participants had not previously used public transportation and now take buses and trains. Around one third of the participants were making greater use of public transportation than before. The study is the only research project on the nine-euro ticket to use digital data documenting actual journeys.

How can we keep traffic infrastructure from collapsing in the world's cities of several million residents or more? One way might take us upwards: Urban air traffic, the topic of a new Massive Open Online Course (MOOC) in English language being offered by the Institute for LifeLong Learning at the Technical University of Munich (TUM) together with the Munich Aerospace research association.

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.

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.

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 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.

Over the past 20 years, the energy storage capacity of lithium ion technology has been increasingly exhausted. A new technology could allow a significant leap in the direction of more compact batteries with an even greater range, the solid-state electrolyte battery.

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.

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.

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.