| Abstract: |  Multi-agent system is an approach to control which was successfully used in the simulation of airplanes collision avoidance. It uses various cooperative and non-cooperative methods to control the airplanes in three dimensional space. The highway project was established to create a highway simulator and implement some control methods used in the airplanes collision avoidance.
Our first objective in the highway project and the first topic of this thesis is an~implementation of a highway simulator based on an Alite toolkit developed in ATG Center. We implemented all the parts of a multi-agent system. In this thesis we described the multi-agent system approach and the world representation in the highway simulator.
The second objective and also the main topic of this thesis is an implementation of cooperative control methods and their use in a highway traffic control. We developed and implemented the first control method, cooperative basic method. The second one, cooperative peer to peer algorithm, was developed for airplanes collision avoidance in ATG Center, but had to be modified and implemented for use in the highway traffic control. Both cooperative methods and their comparison with non-cooperative and machine learning methods are described in this thesis.
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