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In this paper, we evaluate the simulation accuracy of five crowd models: (a) RVO2, (b) social force, (c) approximate nearest neighbor search (ANN), (d) perception-action graph (PAG), and (e) clustering-based model (CLUST) by comparing the simulation results against the real world motion data quantitatively on six metrics: (a) travel time, (b) travel distance, (c) deviation, (d) speed change, (e) angle...
We present a modular evolutionary framework, coined CASE for "complex adaptive system evolver", to automate the modeling and analysis of agent-based simulations (ABSs). The field of agent-based modeling is rapidly growing due to its capabilities to expose the emerging complex phenomena occurring in a wide range of natural and artificial systems such as biological cells, societies, battlefields,...
A large scale HLA-based simulation (federation) is composed of a large number of simulation components (federates), which may be developed by different participants and executed at different locations. Byzantine failures, caused by malicious attacks and software/hardware bugs, might happen to federates and propagate in the federation execution. In this paper, a three-phases (i.e., failure detection,...
A large scale HLA-based simulation (federation) is composed of a large number of simulation components (federates), which may be developed by different participants and executed at different locations. These federates are subject to failures due to various reasons. What is worse, the risk of federation failure increases with the number of federates in the federation. In this paper, a fault tolerance...
Detection of radiological dispersal devices (RDDs) is important because of their potential for destruction and psychological impact on the affected population. These devices leave a clear trace which can be followed when using appropriate detection devices. Geiger counter devices provide data regarding the radiation intensity. However, this is not enough information to pinpoint a radiation source...
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