loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Kyle Feuz and Vicki Allan

Affiliation: Utah State University, United States

ISBN: 978-989-8425-96-6

Keyword(s): Multi-agent systems, Pedestrian simulation, Heuristic route selection, Emergency egress.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Software Engineering ; Symbolic Systems ; Task Planning and Execution

Abstract: Heuristic evaluation of possible route choices allows pedestrians to make decisions in a timely and efficient manner. The heuristic function used to evaluate the route and the subsequent route selection has a large impact on the egress time of the pedestrian. We implement several common heuristic functions using the PLEASE simulation model and allow these heuristics to be combined using weighted factors. When the total distance of a route is unknown, using a greedy strategy of selecting the shortest-leg first route is shown to be a poor choice. When combined with other heuristic estimates however, including shortest-leg first costs can help to decrease egress times. We show that for a variety of building layouts using a heuristic function based upon width, distance, signage and congestion levels leads to better egress times.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.210.22.132

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Feuz, K. and Allan, V. (2012). SIMULATING PEDESTRIAN ROUTE SELECTION WITH IMPERFECT KNOWLEDGE.In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8425-96-6, pages 146-153. DOI: 10.5220/0003726201460153

@conference{icaart12,
author={Kyle Feuz. and Vicki Allan.},
title={SIMULATING PEDESTRIAN ROUTE SELECTION WITH IMPERFECT KNOWLEDGE},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2012},
pages={146-153},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003726201460153},
isbn={978-989-8425-96-6},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - SIMULATING PEDESTRIAN ROUTE SELECTION WITH IMPERFECT KNOWLEDGE
SN - 978-989-8425-96-6
AU - Feuz, K.
AU - Allan, V.
PY - 2012
SP - 146
EP - 153
DO - 10.5220/0003726201460153

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.