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Virginia Tech

GPU Based Large Scale Multi-Agent Crowd Simulation and Path Planning

Abstract

dc:description.abstract

Crowd simulation is used for many applications including (but not limited to) videogames, building planning, training simulators, and various virtual environment applications. Particularly, crowd simulation is most useful for when real life practices wouldn't be practical such as repetitively evacuating a building, testing the crowd flow for various building blue prints, placing law enforcers in actual crowd suppression circumstances, etc. In our work, we approach the fidelity to scalability problem of crowd simulation from two angles, a programmability angle, and a scalability angle, by creating new methodology building off of a struct of arrays approach and transforming it into an Object Oriented Struct of Arrays approach. While the design pattern itself is applied to crowd simulation in our work, the application of crowd simulation exemplifies the variety of applications for which the design pattern can be used.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Computer Science
Department dc:contributor.department
Computer Science
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gusukuma, Luke
Chair dc:contributor.committeechair
  • Cao, Yong
Committee members dc:contributor.committeemember
  • Webster, Dane
  • Knapp, R. Benjamin

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Dc Identifier Other
etd-05062015-193319
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/78098

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Gusukuma, Luke. GPU Based Large Scale Multi-Agent Crowd Simulation and Path Planning. masters thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/78098