Olav Madland

Papers

1

Total Citations

5

H-Index

1

About

Olav Madland is a researcher focused on the intersection of automation and human factors, with a particular emphasis on remote support for automated vehicle operations. His most-cited work, "Remote Support for Automated Vehicle Operations" (2022), has garnered 5 citations, reflecting growing interest in how human operators can effectively oversee and intervene in autonomous systems from a distance. Madland’s contributions lie in exploring the design and implementation of remote monitoring and control frameworks, addressing critical challenges such as latency, trust, and decision-making in automated environments. By investigating the dynamics between human supervisors and autonomous vehicles, his research helps bridge the gap between full automation and practical, safe deployment. While his citation count is modest, his work is notable for its timely relevance to the evolving field of connected and automated mobility, where remote operations are increasingly vital for fleet management and emergency response. Madland’s findings offer foundational insights for engineers and policymakers seeking to integrate human oversight into next-generation transportation systems, making his research a valuable resource for students and professionals alike.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Remote Support for Automated Vehicle Operations
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago