Andreas Keler

Technical University of Munich

Papers

1

Total Citations

5

H-Index

1

About

Andreas Keler is a leading researcher in the intersection of autonomous vehicle technology, traffic simulation, and vulnerable road user safety. His work focuses on modelling the complex interactions between self-driving cars and bicycles, a critical area as automated vehicles become integrated into urban environments. In his highly cited 2023 paper, "Modelling autonomous vehicle interactions with bicycles in traffic simulation," Keler addresses the pressing challenge of testing AV technologies with vulnerable road users without risking real-world accidents. By developing sophisticated simulation frameworks, he provides essential tools for understanding and predicting how autonomous systems can safely coexist with cyclists. His research bridges the gap between theoretical autonomous vehicle development and practical, human-centered traffic safety, offering a foundation for safer urban mobility. Keler’s contributions are particularly impactful for transportation engineers, urban planners, and policymakers seeking evidence-based approaches to integrating AVs into existing traffic ecosystems. His work underscores the importance of simulation in de-risking the transition to automated transportation.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Modelling autonomous vehicle interactions with bicycles in traffic simulation
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago