Modeling Urban Terrain for Simulating Search and Rescue Operations to Train Artificial Planners

J. Vaccaro and C. Guest (USA)


Urban, Gaming, Planning, Automation


This paper addresses the problem of designing and implementing a modeling and simulation environment for planning search and rescue operations in urban terrain. There are three principle accomplishments illustrated in this paper: (1) generate an urban terrain movement model for computer gaming from a Compact Terrain DataBase (CTDB), (2) increase the simulation speed of operations by preprocessing shortest path and line of sight calculations, and (3) define a programming interface for planning algorithms to integrate into the model.

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