The University of Southampton
University of Southampton Institutional Repository

Context ontology modelling for improving situation awareness and crowd evacuation from confined spaces

Context ontology modelling for improving situation awareness and crowd evacuation from confined spaces
Context ontology modelling for improving situation awareness and crowd evacuation from confined spaces
Crowd evacuation management at large venues such as airports, stadiums, cruise ships or metro stations requires the deployment and access to a Common Operational Picture (COP) of the venue, with real-time intelligent contextual interpretation of crowd behaviour. Large CCTV and sensor network feeds all provide important but heterogeneous observations about crowd safety at the venue of interest. Hence, these observations must be critically analyzed and interpreted for supporting security managers of crowd safety at venues. Specifically, the large volume of the generated observations needs to be interpreted in context of the venue operational grounds, crowd-gathering event times and the knowledge on crowd expected behaviour. In this paper, a new context ontology modelling approach is introduced. It is based on knowledge about venue background information, expected crowd behaviours and their manifested features of observations. The aim is to improve situation awareness about crowd safety in crisis management and decision-support
978-3-319-15993-5
407-416
Springer
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Arbab-Zavar, Banafshe
40e175ea-6557-47c6-b759-318d7e24984b
Zlatev, Zlatko
8f2e3635-d76c-46e2-85b9-53cc223fee01
Sabeur, Zoheir
74b55ff0-94cc-4624-84d5-bb816a7c9be6
Denzer, Ralf
Argent, Robert M.
Schimak, Gerald
Hrebicek, Jiri
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Arbab-Zavar, Banafshe
40e175ea-6557-47c6-b759-318d7e24984b
Zlatev, Zlatko
8f2e3635-d76c-46e2-85b9-53cc223fee01
Sabeur, Zoheir
74b55ff0-94cc-4624-84d5-bb816a7c9be6
Denzer, Ralf
Argent, Robert M.
Schimak, Gerald
Hrebicek, Jiri

Correndo, Gianluca, Arbab-Zavar, Banafshe, Zlatev, Zlatko and Sabeur, Zoheir (2015) Context ontology modelling for improving situation awareness and crowd evacuation from confined spaces. Denzer, Ralf, Argent, Robert M., Schimak, Gerald and Hrebicek, Jiri (eds.) In Environmental Software Systems. Infrastructures, Services and Applications. Springer. pp. 407-416 . (doi:10.1007/978-3-319-15994-2_41).

Record type: Conference or Workshop Item (Paper)

Abstract

Crowd evacuation management at large venues such as airports, stadiums, cruise ships or metro stations requires the deployment and access to a Common Operational Picture (COP) of the venue, with real-time intelligent contextual interpretation of crowd behaviour. Large CCTV and sensor network feeds all provide important but heterogeneous observations about crowd safety at the venue of interest. Hence, these observations must be critically analyzed and interpreted for supporting security managers of crowd safety at venues. Specifically, the large volume of the generated observations needs to be interpreted in context of the venue operational grounds, crowd-gathering event times and the knowledge on crowd expected behaviour. In this paper, a new context ontology modelling approach is introduced. It is based on knowledge about venue background information, expected crowd behaviours and their manifested features of observations. The aim is to improve situation awareness about crowd safety in crisis management and decision-support

Text
380902.pdf - Other
Restricted to Repository staff only
Request a copy

More information

Published date: 2015
Venue - Dates: 11th IFIP WG 5.11 International Symposium (ISESS 2015), Melbourne, Australia, 2015-03-25 - 2015-03-27
Organisations: IT Innovation

Identifiers

Local EPrints ID: 380902
URI: http://eprints.soton.ac.uk/id/eprint/380902
ISBN: 978-3-319-15993-5
PURE UUID: 0f262011-06ba-4c39-8327-e0db72d61c4f
ORCID for Gianluca Correndo: ORCID iD orcid.org/0000-0003-3335-5759
ORCID for Zoheir Sabeur: ORCID iD orcid.org/0000-0003-4325-4871

Catalogue record

Date deposited: 18 Sep 2015 10:51
Last modified: 14 Mar 2024 21:06

Export record

Altmetrics

Contributors

Author: Gianluca Correndo ORCID iD
Author: Banafshe Arbab-Zavar
Author: Zlatko Zlatev
Author: Zoheir Sabeur ORCID iD
Editor: Ralf Denzer
Editor: Robert M. Argent
Editor: Gerald Schimak
Editor: Jiri Hrebicek

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×