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Milan Rollo

Drone traffic brings novel challenges to urban planning and environmental impact assessment. Manned traffic has developed for over 100 years, and its impact on the public is well-studied. On the other hand, drones represent a new paradigm, and their range of operation will exceed that of manned aviation, including last-mile delivery. Currently, we lack tools that allow us to study the impact of drone traffic on the public on a large scale. In this talk, we will demonstrate the use of fast-time, large-scale simulations to evaluate the public acceptance of drone traffic in terms of noise annoyance, visual pollution, and safety perception. Scenarios for selected real-world areas will be presented, comparing various air traffic densities and organizations and evaluating its impact.


Panel Discussion

Showcasing Digital Leadership

Modelling and simulation of drone traffic public acceptance criteria

Short Bio

Dr. Milan Rollo is a CTO at AgentFly Technologies. He received an MSc in Technical Cybernetics (2002) and a Ph.D. in Artificial Intelligence and Biocybernetics (2009). He is the chief architect of the AgentFly unmanned system architecture and the head of the unmanned systems division. His responsibility is strategic technical leadership and commercial drone operations. His main research interests are robotics and unmanned systems, distributed agent-based simulations, team action planning, resource allocation, and communication management. He was a principal investigator of numerous research projects funded by industry partners, national research programs, and EU and US defense agencies. He was a member of EUROCAE WG-105 Unmanned Aircraft Systems (UAS) and NATO NIAG SG-205 Sense and Avoid Feasibility and Certification for UAS Flight in Non-Segregated Airspace. He is an author or co-author of more than 30 scientific papers and a member of the program and organizing committees of several international conferences.


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Osquars backe 8114 28 Stockholm, Sweden

Dissemination e-mail:

refmap@futureneeds.eu

Coordination e-mail: gzampino@kth.se

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This Project has received funding from the European Union’s HORIZON Research and Innovation Programme under Grant Agreement number 101096698

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