MULTI-DIMENSIONAL PATTERN DISCOVERY OF TRAJECTORIES USING
CONTEXTUAL INFORMATION

Sharif, M.; Alesheikh, A. A.

doi:https://doi.org/10.5194/isprs-archives-XLII-4-W7-31-2017

Articles | Volume XLII-4/W7

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Articles | Volume XLII-4/W7

https://doi.org/10.5194/isprs-archives-XLII-4-W7-31-2017

Articles | Volume XLII-4/W7

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23 Oct 2017

| 23 Oct 2017

MULTI-DIMENSIONAL PATTERN DISCOVERY OF TRAJECTORIES USING CONTEXTUAL INFORMATION

M. Sharif and A. A. Alesheikh

M. Sharif

Department of Geospatial Information Systems, Faculty of Geodesy & Geomatics Engineering, K. N. Toosi University of Technology, Valiasr Street, Mirdamad Cross, 19967-15433, Tehran, Iran

A. A. Alesheikh

https://orcid.org/0000-0001-9537-9401

Department of Geospatial Information Systems, Faculty of Geodesy & Geomatics Engineering, K. N. Toosi University of Technology, Valiasr Street, Mirdamad Cross, 19967-15433, Tehran, Iran

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Short summary

Task allocation under uncertain conditions is a key problem for agents attempting to achieve harmony in disaster environments. This paper presents an agent-based simulation to investigate task allocation considering appropriate spatial strategies to manage uncertainty in urban search and rescue (USAR) operations.

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MULTI-DIMENSIONAL PATTERN DISCOVERY OF TRAJECTORIES USING CONTEXTUAL INFORMATION

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