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Authors: Kyle Feuz 1 and Vicki Allan 2

Affiliations: 1 Utah State University and Washington State University, United States ; 2 Utah State University, United States

Keyword(s): Reinforcement-learning, Pedestrian simulation, Egress assistance, Congestion, Multi-agent systems.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Computational Intelligence ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Evolutionary Computing ; Information Systems Analysis and Specification ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Machine Learning ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Soft Computing ; Software Engineering ; Symbolic Systems

Abstract: Accurate pedestrian simulation is a difficult yet important task. One of the main challenges with pedestrian simulation is providing the simulated pedestrians with appropriate amounts of route knowledge to be used in the route selection algorithm. In this paper, we propose a novel use of reinforcement learning as a means to represent different amounts of route knowledge. Using this techniques we show the impact learning about route distances and average route congestion levels has upon the egress time of pedestrians. We also look at the effect that dynamic congestion information has upon the efficiency of pedestrian egress.

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Paper citation in several formats:
Feuz, K. and Allan, V. (2012). SIMULATING KNOWLEDGE AND INFORMATION IN PEDESTRIAN EGRESS. In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-8425-96-6; ISSN 2184-433X, SciTePress, pages 246-253. DOI: 10.5220/0003755202460253

@conference{icaart12,
author={Kyle Feuz and Vicki Allan},
title={SIMULATING KNOWLEDGE AND INFORMATION IN PEDESTRIAN EGRESS},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2012},
pages={246-253},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003755202460253},
isbn={978-989-8425-96-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - SIMULATING KNOWLEDGE AND INFORMATION IN PEDESTRIAN EGRESS
SN - 978-989-8425-96-6
IS - 2184-433X
AU - Feuz, K.
AU - Allan, V.
PY - 2012
SP - 246
EP - 253
DO - 10.5220/0003755202460253
PB - SciTePress

- Science and Technology Publications, Lda.
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