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International Journal of Computer Games TechnologyVolume 2011 2011, Article ID 819746, 15 pages

Research Article

Oracle National Security Group, Reston, VA 20190, USA

Center for Modeling, Simulation, and Analysis, University of Alabama in Huntsville, Huntsville, AL 35899, USA

Received 30 July 2011; Revised 19 December 2011; Accepted 22 December 2011

Academic Editor: Kok Wai Wong

Copyright © 2011 Gregg T. Hanold and Mikel D. Petty. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Generating routes for entities in virtual environments, such as simulated vehicles or synthetic human characters, is a long-standing problem, and route planning algorithms have been developed and studied for some time. Existing route planning algorithms, including the widely used A* algorithm, are generally intended to achieve optimality in some metric, such as minimum length or minimum time. Comparatively little attention has been given to route realism, defined as the similarity of the algorithm-generated route to the route followed by real humans in the same terrain with the same constraints and goals. Commercial game engines have seen increasing use as a context for research. To study route realism in a game engine, two developments were needed: a quantitative metric for measuring route realism and a game engine able to capture route data needed to compute the realism metric. Enhancements for recording route data for both synthetic characters and human players were implemented within the Unreal Tournament 2004 game engine. A methodology for assessing the realism of routes and other behaviors using a quantitative metric was developed. The enhanced Unreal Tournament 2004 game engine and the realism assessment methodology were tested by capturing data required to calculate a metric of route realism.

Autor: Gregg T. Hanold and Mikel D. Petty

Fuente: https://www.hindawi.com/


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