Research Topics

Research Goal 1. Responsible, fair, and impactful AI for road safety

Doctoral Candidate 1. How to implement justice in AI for road safety?

Doctoral Candidate 2. Explainable AI for road safety: benchmarking AI methods and data

Doctoral Candidate 3. AI for road safety in LMICs

Research Goal 2. Road user assistance

Doctoral Candidate 4. Road user profiling using multimodal data of naturalistic driving databases

Doctoral Candidate 5. AI to mitigate driver distraction and drowsiness at different levels of automation

Doctoral Candidate 6. Learning from the whole spectrum of driver behaviour: from unsafe to optimal driving

Doctoral Candidate 7. Data fusion of traffic, behaviour & infrastructure for holistic driver assistance

Doctoral Candidate 14. Road safety prediction on the basis of ethically sound physiological measurements

Research Goal 3. Proactive infrastructure safety management

Doctoral Candidate 8. Proactive risk mapping and infrastructure safety management

Doctoral Candidate 9. AI for road safety monitoring and crash prediction from micro- to macro levels

Doctoral Candidate 10. Using AI for the identification, monitoring and utilisation of a personalised self-learning safe route network for home-school trips

Doctoral Candidate 11. AI for proactive safety detection using conflict techniques

Doctoral Candidate 12. Harmonisation and hybrid application of AI datasets for road safety

Doctoral Candidate 13. AI-aided BIM-based design for road infrastructure

Doctoral Candidate 15. Use of advanced AI Chat models for advising road authorities on Vulnerable Road User safety improvements