| Abstract: | 
Multi-agent system approach was successfully used to simulate and control air-traffic of autonomous pilotless airplanes during the project AgentFly. Iterative peer-to-peer collision algorithm (IPPCA) was developed specially for conflict resolution of airplanes.
The domain of autonomous vehicles crossing an uncontrolled intersection is quite similar to autonomous airplanes and can be modelled and controlled using multi-agent system approach too.
In this thesis, I will modify and implemented the IPPCA algorithm to work with autonomous vehicles at the intersection.
Further in this thesis, another collision avoidance (CA) method is described and studied too.
Proposed in the article "A Multiagent Approach to
Autonomous Intersection Management" by Dresner and Stone, reservation-based algorithm can be used at the intersection, to produce conflict-free plans. Implementing this algorithm is another objective of this bachelor thesis.
Finally, I will experimentally evaluate and compare these two CA algorithms in various scenarios.
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