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2019
Conference Paper
Titel

AI planning applied to CIS-based disaster response

Abstract
GIS information is clearly critical for disaster response planning. Formal planning can eliminate otherwise unanticipated conflicts in disaster response planning, particularly in distributed planning. Such conflicts may result in execution-time discovery and resolution, with sub-optimal results. This is especially true in conflicts based upon GIS information as the cases may be subtle, typically resulting from lack of resource access. However, GIS systems do not produce the kind of quantitative information needed for an interface with many other systems, especially planning. New technologies such as GeoSPARQL provide some hope but much work remains. This is a fertile area for research and development.
Author(s)
Petrie, Charles
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS
Voisard, Agnès
Institute of Computer Science, Freie Universität Berlin
Hauptwerk
EM-GIS 2019, 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management. Proceedings
Konferenz
International Workshop on the Use of GIS in Emergency Management (EM-GIS) 2019
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DOI
10.1145/3356998.3365761
Language
English
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Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS
Tags
  • planning

  • disaster recovery

  • GIS

  • constraint satisfacti...

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