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• W35478762 abstract "Current discrete-event simulation methodologies face difficulties in achieving the explicit portrayal of autonomous spatial object movement and interaction. Autonomous spatial movement and interaction can be achieved by comparing each individual spatial object against all the other spatial objects occupying the same trajectory space. However, as the number of spatial objects grows this approach becomes very inefficient. To increase efficiency the trajectory space can be sub-divided into sectors of equal size. Each object is compared against only those objects occupying the same sector and adjacent sectors, thereby reducing the total number of comparisons required to identify the next event of interest. However, when spatial objects are non-uniformly distributed this method, referred to as fixed sectoring, suffers from a loss of efficiency. Many system of interest, such as combat systems and air traffic control systems, are characterized by a non-uniform distribution of spatial objects.This research focuses on the development of an efficient discrete-event simulation methodology for simulating systems characterized by the spatial movement and interaction of numerous non-uniformly distributed autonomous spatial objects. This methodology, referred to as dynamic sectoring, extends the benefits of the current fixed sectoring method to a non-uniform distribution of autonomous spatial objects. The efficiency of this dynamic sectoring methodology is achieved during the running of the simulation by sub-dividing and consolidating sectors based on the current distribution of spatial objects. This sub-division and consolidation of sectors results in many small sectors in the vicinity of large densities of spatial objects and a few large sectors in the vicinity of small densities of spatial objects. By sub-dividing the trajectory space into sectors of various size the loss of efficiency caused by a non-uniform distribution of spatial objects can be reduced.Both the fixed and the dynamic sectoring methodologies are implemented using the MODSIM II programming language. The methodologies are compared while simulating both uniformly and non-uniformly distributed billiards. The results demonstrate that the dynamic sectoring methodology can provide a significant decrease in mean computer execution time while simulating a non-uniform distribution of billiards and can provide an equivalent mean computer execution time for a uniform distribution of billiards" @default.
• W35478762 created "2016-06-24" @default.
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• W35478762 date "1995-01-01" @default.
• W35478762 modified "2023-09-28" @default.
• W35478762 title "Improving computational efficiency in the discrete event simulation of non-uniformly distributed autonomous spatial objects" @default.
• W35478762 hasPublicationYear "1995" @default.
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