Optimization-Based Collision Avoidance for Cooperating Airplanes

Application of autonomous intelligent systems into airspace domain is very important nowadays. The paper presents decentralized collision avoidance algorithm utilizing a solution of the defined optimization problem where efficiency criteria, collision penalties and airplanes’ missions are integrated in an objective function. Two different implementation approaches used for stochastic Probability Collectives optimizer are presented and evaluated – a complex distributed multi-agent deployment among participating airplanes and the Process Integrated Mechanism inspired architecture. Both approaches have been validated and evaluated on the multi-agent framework AGENTFLY providing precise simulation for airspace operations.

[1]  David Sislák,et al.  Agent-Based Approach to Free-Flight Planning, Control, and Simulation , 2009, IEEE Intelligent Systems.

[2]  Niranjan Suri,et al.  A Game based Approach to Comparing Different Coordination Mechanisms , 2008 .

[3]  David H. Wolpert,et al.  Information Theory - The Bridge Connecting Bounded Rational Game Theory and Statistical Physics , 2004, ArXiv.

[4]  David H. Wolpert,et al.  Product distribution theory for control of multi-agent systems , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..