Project UAVTraffic

UAVTraffic (cro. Višeagentno upravljanje prometom autonomnih bespilotnih letjelica - Multi-agent based Traffic Control of Autonomous Unmanned Aerial Vehicles) was financed by the University of Zagreb from August 2014 until December 2014. The technology of unmanned aerial vehicles has matured for various civil usage scenarios and is already being tested by major industry players including Amazon, Google and DHL. Their usage ranges from agriculture, aerial photography, traffic and ecology to surveillance and package delivery. Having the current trends and predictions about future use of this amazing technology in mind, it seems to be just a matter of time until we will alongside terrestrial (on the ground 2D) and aerial traffic (above 300 meters of altitude) have to control traffic of drones (below 300 meters of altitude). This zone of UAV traffic is currently not well regulated and often forbidden in many countries. The research in UAVTraffic is therefore aimed towards making a first step in developing basic traffic rules for (autonomous) UAVs by using simulation models and small scale field studies. In accordance with this objective, UAVTraffic will make good use of advanced semantic Web technologies (especially of the ontology of cooperative intelligent transport systems developed at the University of Zagreb), multi-agent system methodology (especially proactive agents, automated planning and negotiation algorithms), technologies for machine vision (especially spatial object recognition), the Internet of Things or more specifically the Internet of Vehicles (a network of various devices like smart phones, watches, goggles, cars but also UAVs and other things that will allow for traffic control).

The objective of UAVTraffic is to investigate a number of alternative aerial traffic control strategies in controlled environments by using:

  1. 1) Ontologies and semantic descriptions of the environment in UAV maneuvers
  2. 2) Machine vision and spatial object recognition (markers)
  3. 3) A combination of strategies (1) and (2).

During the project a test bed environment will be developed (firstly an agent-based simulation environment and later a real-world testing environment) which will be labeled with adequate markers and described using formal ontological languages. Agent programs will be developed which will autonomously maneuver UAVs. After a simulation confirms the validity of the environment and the developed agents a number of field studies will be performed in order to test developed traffic rules and in a real-world scenario.

Project Members

Ivana Nizetic Kosovic

Research assistent
+385 1 6129-951

Asst. Prof. Pero Škorput, Ph.D.

Assistant Professor
Faculty of Transportation and Traffic Sciences
+385 1 2457-922

Pietro Terna

full professor of Economics
+39 011 6706067