An adaptive simulation tool for evacuation scenarios

Daniel Formolo, C. Natalie van der Wal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Building useful and efficient models and tools for a varied audience, such as evacuation simulators for scientists, engineers and crisis managers, can be tricky. Even good models can fail in providing information when the user’s tools for the model are scarce of resources. The aim of this work is to propose a new tool that covers the most required features in evacuation scenarios. This paper starts with a review of current software, prototypes and models simulating evacuation scenarios, by discussing their required and desired features. Based on this overview, we propose our simulator comparing it with other models and commercial tools. Moreover, we discuss the importance of building simulators that cover the minimum requirements to avoid the risk of building inefficient models or tools that do not provide enough insights for users to take right decisions in terms of security policies in crowded events. The implications of this work are to present a new simulation tool and to start a discussion in this research field on mandatory features of evacuation simulation tools that will provide valuable information to users and to find out what the criteria are to define these features.

LanguageEnglish
Title of host publicationProgress in Artificial Intelligence - 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Proceedings
PublisherSpringer/Verlag
Pages766-777
Number of pages12
Volume10423 LNAI
ISBN (Print)9783319653396
DOIs
StatePublished - 2017
Event18th EPIA Conference on Artificial Intelligence, EPIA 2017 - Porto, Portugal
Duration: 5 Sep 20178 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10423 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference18th EPIA Conference on Artificial Intelligence, EPIA 2017
CountryPortugal
CityPorto
Period5/09/178/09/17

Fingerprint

Evacuation
Simulation Tool
Scenarios
Simulator
Simulators
Cover
Model
Security Policy
Prototype
Resources
Software
Managers
Requirements
Engineers

Keywords

  • Crowd model
  • Evacuation
  • Multi-agent
  • Simulation
  • Tools

Cite this

Formolo, D., & van der Wal, C. N. (2017). An adaptive simulation tool for evacuation scenarios. In Progress in Artificial Intelligence - 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Proceedings (Vol. 10423 LNAI, pp. 766-777). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10423 LNAI). Springer/Verlag. DOI: 10.1007/978-3-319-65340-2_62
Formolo, Daniel ; van der Wal, C. Natalie. / An adaptive simulation tool for evacuation scenarios. Progress in Artificial Intelligence - 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Proceedings. Vol. 10423 LNAI Springer/Verlag, 2017. pp. 766-777 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Formolo, D & van der Wal, CN 2017, An adaptive simulation tool for evacuation scenarios. in Progress in Artificial Intelligence - 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Proceedings. vol. 10423 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10423 LNAI, Springer/Verlag, pp. 766-777, 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Porto, Portugal, 5/09/17. DOI: 10.1007/978-3-319-65340-2_62

An adaptive simulation tool for evacuation scenarios. / Formolo, Daniel; van der Wal, C. Natalie.

Progress in Artificial Intelligence - 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Proceedings. Vol. 10423 LNAI Springer/Verlag, 2017. p. 766-777 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10423 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Formolo D, van der Wal CN. An adaptive simulation tool for evacuation scenarios. In Progress in Artificial Intelligence - 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Proceedings. Vol. 10423 LNAI. Springer/Verlag. 2017. p. 766-777. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Available from, DOI: 10.1007/978-3-319-65340-2_62