At present several Java-based multi-agent platforms from different developers are available, but none of them fully supports agent mobility and communication inaccessibility simulation. They are thus unsuitable for experiments with large scale real-world simulation. In this chapter we describe architecture of A-globe, fast, scalable and lightweight agent development platform with environmental simulation and mobility support. Beside the functions common to most agent platforms it provides a position-based messaging service, so it can be used for experiments with extensive environment simulation and communication inaccessibility. Simple benchmarks that compare the A-globe performance against other available agent platforms are also included.
This contribution presents a deployment exercise of multiagent technology in the domain of deconflicted air-traffic control among several autonomous aerial vehicles (manned as well as unmanned). Negotiation based deconfliction algorithm have been developed and integrated in the agent-based model of the individual flight. Operation of the underlying multi-agent system has been integrated with freely available, geographical and tactical data sources in order to demonstrate openness of the technology. An additional, web client visualization and access component has been developed in order to facilitate a multi-user, platform independent use of the system. The features and application design is illustrated in the demonstration video clip 1 .
Abstract-The paper provides a description of an iterative version of the Accelerated A* algorithm for path planning and its application in the air traffic domain for airplanes with defined motion dynamics operating in the Earth-centered, Earth-fixed coordinate system (GPS) on a spherical model of the Earth constrained by the landscape and special use airspaces (SUA). The motion dynamics of the airplanes is modeled using the Base of Aircraft Data (BADA) airplane performance models. The presented algorithm provides an extension of the A* algorithm that significantly reduces the search space and makes planning of the flight trajectories computationally tractable.
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