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Author Fatemeh Hendijani Fard; Cooper Davies; Frank Mauer
Title Agile Emergency Responses Using Collaborative Planning HTN Type (up) Conference Article
Year 2017 Publication Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2017
Volume Issue Pages 857-867
Keywords Collaborative emergency response planning; emergency operations center; emergency response knowledge base; decision support systems; hierarchical task network
Abstract Emergency response planning is a complex task due to multiple organizations involved, different planning considerations, etc. Using artificial intelligence collaborative planning helps in the automatic planning for complex situations. Analyzing all impacting factors along with plans that are executable can facilitate the decision making in Emergency Operations Centers for an agile emergency response. A main component of a planner is a knowledge base. Although many systems are developed to support decision making in emergency response or recovery, they either focus on specific or small organizations, or rely on simulations. To the best of our knowledge, there is a gap that there is no common knowledge base for provincial level mass emergencies for automatic planners. The multiplicity of the emergency response documents and their structure makes the knowledge acquisition complex. In this paper, we explain the process of extracting knowledge based on hierarchical task networks and how it speeds up the reactivity to a disaster.
Address University of Calgary – Calgary AB
Corporate Author Thesis
Publisher Iscram Place of Publication Albi, France Editor Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN Medium
Track New Technologies for Crisis Management Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 2071
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Author Tobias Andersson Granberg; Carl-Oscar Jonson; Erik Prytz; Krisjanis Steins; Martin Waldemarsson
Title Sensor Requirements for Logistics Analysis of Emergency Incident Sites Type (up) Conference Article
Year 2020 Publication ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2020
Volume Issue Pages 952-960
Keywords Sensors; Emergency Response Planning; Tracking; Team Interaction
Abstract Using sensors to collect data at emergency incident sites can facilitate analysis of the logistic operations. This can be used to improve planning and preparedness for new operations. Furthermore, real-time information from the sensors can serve as operational decision support. In this work in progress, we investigate the requirements on the sensors, and on the sensor data, to facilitate such an analysis. Through observations of exercises, the potential of using sensors for data collection is explored, and the requirements are considered. The results show that the potential benefits are significant, especially for tracking patients, and understanding the interaction between the response actors. However, the sensors need to be quite advanced in order to capture the necessary data.
Address Linköping University, Department of Science and Technology; Linköping University, Center for Disaster Medicine and Traumatology, and Department of Biomedical and Clinical Sciences; Linköping University, Department of Computer and Information Science; Linköping University, Department of Science and Technology; Linköping University, Department of Science and Technology
Corporate Author Thesis
Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Amanda Hughes; Fiona McNeill; Christopher W. Zobel
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-27-85 ISBN 2411-3471 Medium
Track Technologies for First Responders Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management
Notes tobias.andersson.granberg@liu.se Approved no
Call Number Serial 2286
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