Smart Mobility

9/30/2022

Mobility and goods transport of the future will have to accomplish many things: They will have to become more climate-friendly, low-noise, low-emitting, intelligent and connected. And they will need to be embedded in existing infrastructures to create highly livable urban design. In this issue, we share some fascinating insights into the ideas, goals and achievements of our researchers working on smart mobility.

In a computer-generated model, sensors at the signal systems record traffic events. — Smart mobility in a computer-generated model: Sensor data is used to construct traffic with digital twins – in order to automatically control traffic lights, for example.

Download Entire Edition No. 28 (September 2022) in PDF

Contents of this issue

“We need to find different incentives”

Automotive engineer Markus Lienkamp, political scientist Miranda Schreurs and traffic planner Gebhard Wulfhorst agree that interdisciplinary thinking is the key to developing concepts for smart mobility.

Electrifying an Island Nation

Singapore hopes to pivot entirely to electromobility. A simulation program built by researchers at TUM-CREATE mimics the behavior of the power grid if high numbers of electric vehicles need to be charged.

What Kind of City Do We Want to Live In?

Street experiments around the world are trying out alternative concepts for street use. Ana Rivas is examining the conditions under which the experiments contribute to lasting transformations.

Autonomous Driving

Looking Far Ahead and Around Corners with Digital Twins

Alois Knoll leads the Providentia++ project. It depicts current road traffic in real time in a digital form, making this data available to all.

Looking into the Future

Self-driving cars must be prepared for all possible traffic situations in order to avoid accidents and collisions. Matthias Althoff develops a software which anticipates traffic situations within a fraction of a second – thus enabling the car to avoid collisions.

Deceptively Realistic Images of People Who Don’t Actually Exist

Neural nets in self-driving cars require vast quantities of images of road traffic to learn how to recognize people. A research group led by Laura Leal-Taixé has found intriguing solutions to generate images of people without raising any data protection concerns.

Automated Driving Will Require a New Traffic Culture

For automated transport to be successful, the complex interaction between humans and vehicles must be considered. Klaus Bogenberger and his Chair investigate this within the TEMPUS project.

All Daily Needs Within 15 Minutes

In sustainable cities, everything needs to be easily accessible, ideally within 15 minutes by bicycle or on foot. The start-up Plan4Better offers a planning software that can help make this happen.

How Much Electromobility Do You Need?

Would e-mobility be a sensible choice for me or my company? The digital consultancy tool WATE has answers.

Shrink Your Travel Footprint

Will future travel avoid burdening the environment? Agnes Jocher investigates alternative aviation fuels and the visionary high-speed Hyperloop system.