| Records |
| Author |
Narjès Bellamine-Ben Saoud; Julie Dugdale; Bernard Pavard; Mohamed Ben Ahmed; Tarek Ben Mna; Néjia Ben Touati |
| Title |
Towards planning for emergency activities in large-scale accidents: An interactive and generic agent-based simulator |
Type |
Conference Article |
| Year |
2004 |
Publication |
Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2004 |
| Volume |
|
Issue |
|
Pages |
173-177 |
| Keywords |
Autonomous agents; Information systems; Simulators; User interfaces; Virtual reality; Agent based simulation; Generic; Interactive; Organizing; Rescue plans; Accidents |
| Abstract |
In this paper we describe the design and development of an interactive and generic agent based simulator, providing valuable support for organizing the emergency rescue plans of a large-scale accident. Analysis of real rescue activities has been conducted in collaboration with medical experts in order to understand the collaborative process and the involved actors and features. Based on the emergency analysis, an agent-based model and simulator was constructed including (1) the autonomous Agents – representing victims with evolving illness and rescuers (doctors, nurses, fireman) collaborating to rescue the first ones; (2) the Environment -representing the accident site having obstacles and dangerous areas and where the victims are initially spread and the doctors move to explore -perceive – treat and helpers evacuate; (3) the Interactions between rescuers – exploring collectively, evacuating by pairs, communicating directly or via artefacts- (4) the Organization of actors as distributed “independent” sub-teams in various site sub-zones or as a centralized whole team conducted by the rescue chief; and (5) the User interfaces allowing mainly initial configuration of the simulations (e.g. number of victims and states, followed strategies, rescuers behaviours), continuous visual control of the process of rescuing (e.g. site overview with acting-interacting agents, graphics, text descriptions), dynamic changes of parameters of an on-going simulation (e.g. adding new victims, adding new rescuers, or adding dangerous zones or new obstacles on sites) as well as step-by-step simulation. This simulation shows that it is possible to create a virtual environment with cooperating agents interacting in a dynamic environment. On-line and off-line analysis of simulation traces and results enable us first understanding complex situations in rescuing activities in large-scale accidents, and than planning for responding to crisis situation. This simulation approach is useful for identifying the best scenarios and eliminating potential catastrophic combinations of parameters and values, where rescue performance could be significantly impacted. © Proceedings ISCRAM 2004. |
| Address |
RIADI-GDL Laboratory, ENSI, Campus Universitaire, 2010 la Manouba, Tunisia; GRIC-IRIT UPS-CNRS (UMR 5505), Université Paul Sabatier, 118 Route de Narbonne, 31062 Toulouse Cedex, France; IIHM CLIPS-IMAG, 385 Rue de la Bibliothèque, 38041 Grenoble Cedex 9, France |
| Corporate Author |
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Thesis |
|
| Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
|
Series Title |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9076971080 |
Medium |
|
| Track |
Emergency Response Simulation and Training Systems |
Expedition |
|
Conference |
1st International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
80 |
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| Author |
Cornelia Caragea; Nathan McNeese; Anuj Jaiswal; Greg Traylor; Hyun-Woo Kim; Prasenjit Mitra; Dinghao Wu; Andrea H. Tapia; Lee Giles; Bernard J. Jansen; John Yen |
| Title |
Classifying text messages for the haiti earthquake |
Type |
Conference Article |
| Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
Abstracting; Artificial intelligence; Disaster prevention; Information systems; Learning systems; Text processing; Disaster relief; Emergency response; Emergency situation; Haiti earthquakes; Information technology infrastructure; Nongovernmental organizations; Relief workers; Self-organizing behavior; Earthquakes |
| Abstract |
In case of emergencies (e.g., earthquakes, flooding), rapid responses are needed in order to address victims' requests for help. Social media used around crises involves self-organizing behavior that can produce accurate results, often in advance of official communications. This allows affected population to send tweets or text messages, and hence, make them heard. The ability to classify tweets and text messages automatically, together with the ability to deliver the relevant information to the appropriate personnel are essential for enabling the personnel to timely and efficiently work to address the most urgent needs, and to understand the emergency situation better. In this study, we developed a reusable information technology infrastructure, called Enhanced Messaging for the Emergency Response Sector (EMERSE), which classifies and aggregates tweets and text messages about the Haiti disaster relief so that non-governmental organizations, relief workers, people in Haiti, and their friends and families can easily access them. |
| Address |
College of Information Sciences and Technology, Pennsylvania State University, University Park, PA-16801, United States |
| Corporate Author |
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Thesis |
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| Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
|
Series Title |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
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| ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
|
| Track |
Analytical Information Systems |
Expedition |
|
Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
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Serial |
371 |
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