DyNaMo - Safe and sustainable mobility in the city of tomorrow - How does artificial intelligence help cycling safety?
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Project Goal
Cycling promises many benefits such as lower noise levels and fewer air emissions, and is therefore set to play a more important role in many cities. A central problem in this context is the rising number of traffic accidents. Traffic accidents are among the leading causes of death worldwide for children and young adults up to the age of 29.
The "DyNaMo" project is committed to making cycling safer. To prevent traffic accidents in the long term and increase the safety of cyclists, DyNaMo is researching the foundations for:
- the implementation of suitable cycling infrastructure measures,
- the development of training programs for cyclists, each based on an AI-based analysis of the behavior of road users,
- the development of new, legally compliant AI-based assistance systems for cyclists
- an even better recording and anticipatory consideration of cyclist behavior in AI-based autonomous driving
To address these goals, the expertise of computer science, traffic psychology, transport planning, and law is combined. The recording of riding behavior, e.g., raising an arm to turn, is carried out using vehicle- and wearable-based sensors and is researched using various AI methods (e.g., transformers, hyperparameter optimization, transfer learning, sensor fusion).
Project Information
| Cooperation Partners | University of Kassel: |
| Project Duration | 01/2025 – 12/2028 |
| Funding Programme | State Offensive for the Development of Scientific and Economic Excellence (LOEWE), Hessian Ministry of Science and Research, Arts and Culture |
| Contact Persons | Prof. Dr. Angela Francke (Project Lead) M.Sc. Jonas Kulhavy (Research Associate) |
| Contact | Department 14 Civil and Environmental Engineering Mönchebergstr. 7 Engineering Sciences III, Room 3711 34125 Kassel |