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Tina Comes; Frédérick Bénaben; Chihab Hanachi; Matthieu Lauras; Aurélie Montarnal |
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Title |
Conference Proceedings of 14th International Conference on Information Systems for Crisis Response And Management |
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Conference Volume |
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Year |
2017 |
Publication |
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2017 |
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Pages |
1093 |
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Abstract |
This year�s conference theme is �Agility is coming�. Through information systems, we have access to data in real-time. Agility enables responders and communities to react quickly to such information, set up collaboration mechanisms as needed, and jointly improve response and recovery processes and strategies. As such, agility is one of the keys for building more resilient
societies. |
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Publisher |
Iscram |
Place of Publication |
Albi, France |
Editor |
Tina Comes, Frédérick Bénaben, Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal |
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Language |
English |
Summary Language |
English |
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ISSN |
2411-3387 |
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Proceeding |
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no |
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Call Number |
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Serial |
2199 |
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Author |
Frédérick Bénaben; Chihab Hanachi; Matthieu Lauras; Pierre Couget; Vincent Chapurlat |
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Title |
A metamodel and its ontology to guide crisis characterization and its collaborative management |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
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Pages |
189-196 |
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Keywords |
Characterization; Hardware; Ontology; Automated reasoning; Collaborative management; Collaborative process; Crisis; Crisis management; Metamodeling; Reference modeling; System of systems; Information systems |
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Abstract |
This paper presents a research in progress about the French ISyCri project that aims at providing partners involved in crisis management with an agile Mediation Information System (MIS). Not only this MIS shoul support the interoperability of the partners' information systems but it is also dedicated to coordinate their activities through a collaborative process. One of the first and main steps towards such a MIS, is to elaborate a common and sharable reference model built to characterize crisis situations. Such a model is also an input for automated reasoning to elaborate and adapt a crisis solving collaborative process. This article presents the objective of the project, our approach and our first results: a UML metamodel of crisis situation and its corresponding OWL ontology on top of which deductions are possible. |
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Address |
Université de Toulouse, Mines ALBI, DR/GI, France; Université de Toulouse 1, France; Prefecture du Tarn, France; Ecole des Mines D'Alès, LGI2P, France |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780615206974 |
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Track |
Ontologies for Crisis Management |
Expedition |
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Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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no |
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Call Number |
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Serial |
301 |
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Author |
Ahmed Laatabi; Benoit Gaudou; Chihab Hanachi; Patricia Stolf; Sébastien Truptil |
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Title |
Coupling Agent-based Simulation with Optimization to Enhance Population Sheltering |
Type |
Conference Article |
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Year |
2022 |
Publication |
ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2022 |
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Pages |
116-132 |
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Keywords |
Sheltering; Simulation; Agent-Based Modeling; Optimization; Vehicle Routing Problem; Coupling; Flood Evacuation |
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Abstract |
Population sheltering is a recurrent problem in crisis management that requires addressing two aspects: evacuating vulnerable people using emergency vehicles and regulating movements of pedestrians and individual vehicles towards shelters. While these aspects have received considerable attention in modeling and simulation literature, very few approaches consider them simultaneously. In this paper, we argue that Agent-Based Modeling and Simulation (ABMS) and Optimization are two complementary approaches that can address the problem of sheltering globally and efficiently and be the basis of coherent frameworks for decision- and policy-making. Optimization can build efficient sheltering plans, and ABMS can explore what-if scenarios and use geospatial data to display results within a realistic environment. To illustrate the benefits of a framework based on this coupling approach, we simulate actual flash flood scenarios using real-world data from the city of Trèbes in South France. Local authorities may use the developed tools to plan and decide on sheltering strategies, notably, when and how to evacuate depending on available time and resources. |
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Address |
University of Toulouse; University of Toulouse; University of Toulouse; University of Toulouse; CEA Tech Occitanie |
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Place of Publication |
Tarbes, France |
Editor |
Rob Grace; Hossein Baharmand |
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Language |
English |
Summary Language |
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Original Title |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-82-8427-099-9 |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
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no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2403 |
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