Felix Wilhelm Siebert

Felix Wilhelm Siebert is an Assistant Professor at the Department of Technology, Management and Economics within the DTU Management faculty at the Technical University of Denmark (DTU). His research focuses on transportation safety, human factors in urban mobility, and the application of computer vision and robotics in traffic analysis. Key areas of interest include cycling and e-scooter safety, helmet use compliance, and the psychological and environmental factors influencing risk behaviors.

His work spans cross-cultural studies, such as assessing affinity for technology (TAEG Questionnaire), analyzing motorcycle helmet usage in Southeast Asia and Madagascar, and developing models for robot-pedestrian interaction based on proximity theory. He has also contributed to improving assistive technologies like hybrid eye typing interfaces and has explored the impact of substances like nitrous oxide on driving performance.

Notable contributions include automated detection systems for helmet use using deep learning, safety perception studies through image comparisons, and behavioral analyses of e-scooter riders in urban settings. His research integrates interdisciplinary methods, combining computer vision, behavioral economics, and urban planning to address real-world transportation challenges.

Dr. Siebert has published extensively on topics ranging from traffic conflict techniques to policy implications of shared mobility systems. Despite no listed awards, his work demonstrates significant engagement with global public health and infrastructure safety initiatives.