Publication Date

12-2012

Committee Chair

Ruijin Ma, Ph.D.

Committee Members

Douglas M. Flewelling, Ph.D.

Abstract

When a person moves through an environment he/she will decide where to travel based on their interpretation of the surroundings. This becomes important in search and rescue scenarios and military operations when a person’s route is of interest. One solution to predict this route is to model the way people travel. This paper documents the process of developing a prototype path prediction tool using the Python scripting language and ArcMap tools. The general model approach was to create a simulation based on a least cost path analysis restricted by viewshed analysis. While the concept is straightforward, creating the program proved complex due to the management of vector and raster data, and accounting for numerous application possibilities and variable combinations. The result was a durable simulation capable of incorporating a directional bias, observer height, travel speed, and the ability to accommodate a level of randomness.

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Construction and Implementation of a Path Prediction Model (Poster)

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