Advertisement

Context Ontology Modelling for Improving Situation Awareness and Crowd Evacuation from Confined Spaces

  • Gianluca Correndo
  • Banafshe Arbab-Zavar
  • Zlatko Zlatev
  • Zoheir A. Sabeur
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 448)

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.

Keywords

crisis management decision-support sensor data semantics context ontology modelling crowd behavior 

References

  1. 1.
    Schank, R.C., Abelson, R.P.: Scripts, plans, and knowledge. Yale University (1975)Google Scholar
  2. 2.
    Chang, Y.-H., Yang, H.-H.: Aviation occupant survival factors: An empirical study of the SQ006 accident. Accid. Anal. Prev. 42(2), 695–703 (2010)CrossRefGoogle Scholar
  3. 3.
    Gonzàlez i Sabaté, J.: Human sequence evaluation: the key-frame approach. info:eu-repo/semantics/doctoralThesis, Universitat Autonoma de Barcelona (2004)Google Scholar
  4. 4.
    Fernández, C., Gonzàlez, J.: Ontology for semantic integration in a cognitive surveillance system. In: Semantic Multimedia, pp. 260–263. Springer (2007)Google Scholar
  5. 5.
    Dey, A.K., Abowd, G.D.: The context toolkit: Aiding the development of context-aware applications. In: Workshop on Software Engineering for wearable and pervasive computing, pp. 431–441 (2000)Google Scholar
  6. 6.
    Remagnino, P., Hagras, H., Velastin, S., Monekosso, N.: Ambient intelligence: a gentle introduction (2005)Google Scholar
  7. 7.
    Chen, H., Finin, T., Joshi, A.: An ontology for context-aware pervasive computing environments. Knowl. Eng. Rev. 18(03), 197–207 (2003)CrossRefGoogle Scholar
  8. 8.
    Gu, T., Pung, H.K., Zhang, D.Q.: A middleware for building context-aware mobile services. In: 2004 IEEE 59th Vehicular Technology Conference, VTC 2004-Spring, vol. 5, pp. 2656–2660 (2004)Google Scholar
  9. 9.
    ten Teije, A., van Harmelen, F.: An extended spectrum of logical definitions for diagnostic systems. In: Proceedings of DX-94 Fifth International Workshop on Principles of Diagnosis, pp. 334–342 (1994)Google Scholar
  10. 10.
    Cox, S.: Observations and Measurements. Open GIS Consortium Inc., 03-022r3 (2003)Google Scholar
  11. 11.
    Compton, M., Barnaghi, P., Bermudez, L., García-Castro, R., Corcho, O., Cox, S., Graybeal, J., Hauswirth, M., Henson, C., Herzog, A., Huang, V., Janowicz, K., Kelsey, W.D., Le Phuoc, D., Lefort, L., Leggieri, M., Neuhaus, H., Nikolov, A., Page, K., Passant, A., Sheth, A., Taylor, K.: The SSN ontology of the W3C semantic sensor network incubator group. Web Semant. Sci. Serv. Agents World Wide Web 17, 25–32 (2012)CrossRefGoogle Scholar
  12. 12.
    Fruin, J.J.: Designing for Pedestrians: A Level-of-Service Concept. New York Metropolitan Association of Urban Designers and Environmental Planners. Highw. Res. Rec. (355) (1971)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Gianluca Correndo
    • 1
  • Banafshe Arbab-Zavar
    • 1
  • Zlatko Zlatev
    • 1
  • Zoheir A. Sabeur
    • 1
  1. 1.Electronics and Computer Science, Faculty of Physical Sciences and EngineeringUniversity of Southampton IT Innovation CentreSouthamptonUnited Kingdom

Personalised recommendations