SIMTRAP: simulation of traffic-induced air pollution
Transactions of the Society for Computer Simulation International - Special issue on modeling and simulation of air pollution
Integrating GIS, simulation and animation
WSC '91 Proceedings of the 23rd conference on Winter simulation
Mathematical Techniques in Multisensor Data Fusion
Mathematical Techniques in Multisensor Data Fusion
Planning aids for the military commander: force protection simulation opportunities with with GIS
Proceedings of the 33nd conference on Winter simulation
WSC '04 Proceedings of the 36th conference on Winter simulation
A scenario generation tool for DDF simulation testbeds
WSC '04 Proceedings of the 36th conference on Winter simulation
Factors affecting the expectation of casualties in the virtual range toxicity model
WSC '04 Proceedings of the 36th conference on Winter simulation
Learning UML 2.0
Snow avalanche hazard modelling of large areas using shallow water numerical methods and GIS
Environmental Modelling & Software
A target identification comparison of Bayesian and Dempster-Shafer multisensor fusion
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
GIS simulations of the inundation risk in the coastal lowlands of the Northern Adriatic Sea
Mathematical and Computer Modelling: An International Journal
Information fusion in underwater sonar simulation
Proceedings of the 40th Conference on Winter Simulation
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This paper presents the results of a software system which integrates geographical information systems (GIS), object oriented simulation (OOS), and multi-sensor fusion algorithms. This system allows the Navy to evaluate the performance of different multi-sensor configurations in order to identify enemy ships, friendly ships, or other entities present in the ocean. ArcGIS provides geographical information such as seabed composition, bathymetry, and proximity to the coast. The simulation system developed on AnyLogic takes the GIS data as input, and performs simulations to evaluate the impact of the geographical conditions on the ability of the sensors to identify entities in the ocean.