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AI planning applied to CIS-based disaster response

 
: Petrie, Charles; Voisard, Agnès

:

Zhang, H. ; Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Spatial Information -SIGSPATIAL-:
EM-GIS 2019, 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management. Proceedings : November 5th, 2019, Chicago, IL, USA
New York: ACM, 2019
ISBN: 978-1-4503-6965-7
Art. 9, 4 S.
International Workshop on the Use of GIS in Emergency Management (EM-GIS) <5, 2019, Chicago/Ill.>
Englisch
Konferenzbeitrag
Fraunhofer FOKUS ()
planning; disaster recovery; GIS; constraint satisfaction

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.

: http://publica.fraunhofer.de/dokumente/N-608631.html