| |
Records |
Links |
|
Author  |
Ingo J. Timm; Bernhard Hess; Fabian Lorig |
|
| |
Title |
Data Acquisition for ad-hoc Evacuation Simulations of Public Buildings |
Type |
Conference Article |
| |
Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
|
| |
Volume |
|
Issue |
|
Pages |
|
|
| |
Keywords |
Evacuation of Public Buildings, Data Fusion, Data Aggregation, Crowd Simulation, Social Simulation |
|
| |
Abstract |
Crowd simulation is suitable to evaluate evacuation strategies but its validity strongly depends on the quality of input
data. The acquisition of adequate input data is particularly challenging when simulating the evacuation of public
buildings such as universities. As they are publicly accessible, the exact number of persons on site is unknown.
Yet, to investigate specific emergency situations by means of simulation, e.g. amok or fire, information is required
about distribution and amount of people within the building at a specific point of time. Due to data privacy, public
buildings do not implement access control. However, data artifacts are available in various information systems,
e.g., wifi data, room administration. Our hypothesis is, that the acquisition and fusion of such data artifacts is
sufficient to enable data-based ad-hoc simulation of evacuation scenarios as decision support for the operations
management. To this end, we introduce a procedure for the situation-dependent collection fusion of simulation
input data. Furthermore, a case study is provided to demonstrate the feasibility of the approach. |
|
| |
Address |
Trier University, Germany |
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
|
| |
Language |
English |
Summary Language |
English |
Original Title |
|
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
|
|
| |
Track |
T5- Intelligent and Semantic Web Systems |
Expedition |
|
Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
|
| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
1949 |
|
| Share this record to Facebook |
| |
|
| |
|
Author |
Maël Arnaud; Carole Adam; Julie Dugdale |
|
| |
Title |
The role of cognitive biases in reactions to bushfires |
Type |
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 |
85-96 |
|
| |
Keywords |
Multi-agent modelling; social simulation; cognitive biases; BDI paradigm; Victoria bushfires |
|
| |
Abstract |
Human behaviour is influenced by many psychological factors such as emotions, whose role is already widely recognised. Another important factor, and all the more so during disasters where time pressure and stress constrain reasoning, are cognitive biases. In this paper, we present a short overview of the literature on cognitive biases and show how some of these biases are relevant in a particular disaster, the 2009 bushfires in the South-East of Australia. We provide a preliminary formalisation of these cognitive biases in BDI (beliefs, desires, intentions) agents, with the goal of integrating such agents into agent-based models to get more realistic behaviour. We argue that taking such “irrational” behaviours into account in simulation is crucial in order to produce valid results that can be used by emergency managers to better understand the behaviour of the population in future bushfires. |
|
| |
Address |
Univ. Grenoble Alpes, LIG, F-38000 |
|
| |
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 |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
14th International Conference on Information Systems for Crisis Response And Management |
|
| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
2002 |
|
| Share this record to Facebook |
| |
|
| |
|
Author |
Magnus Jändel; Sinna Lindquist; Linus Luotsinen |
|
| |
Title |
Social coverage maps |
Type |
Conference Article |
| |
Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
|
| |
Volume |
|
Issue |
|
Pages |
241-250 |
|
| |
Keywords |
Flow visualization; Information systems; Urban planning; Visualization; Command and control; Crisis management; Emergency planning; Human behaviours; Radioactive contamination; Social simulations; Visual representations; Wireless services; Electronic warfare |
|
| |
Abstract |
This paper introduces Social Coverage Maps (SCM) as a visual representation of the societal impact of localized disruptions in urban areas. Incited by the recent deliberate interruption of wireless services for the purpose of crowd control in San Francisco, we focus on the use of SCMs for representing emergent effects of electronic warfare. As a prequel we discuss maps and other visualizations as representations of human behaviour and relations. The SCM concept is defined and grounded in simulation-based parameters. Using an experimental scenario based on cell phone jamming in a city we show how SCMs are generated using an agent-based population simulator. We find that Social Coverage Maps could become a useful tool for analysing emergent effects of actions and events including electronic warfare, roadblocks, smoke, teargas, chemical and radioactive contamination with applications in operational and emergency planning as well as crisis management. |
|
| |
Address |
Swedish Defence Research Agency, Sweden |
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
|
| |
Language |
English |
Summary Language |
English |
Original Title |
|
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
|
| |
Track |
Decision Support Systems |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
|
| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
618 |
|
| Share this record to Facebook |
| |
|
| |
|
Author |
Tomoichi Takahashi |
|
| |
Title |
Agent-based disaster simulation evaluation and its probability model interpretation |
Type |
Conference Article |
| |
Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
|
| |
Volume |
|
Issue |
|
Pages |
369-376 |
|
| |
Keywords |
Disasters; Probability; Agent based simulation; Agent based social simulation; Agent-based approach; Agent-based social simulations; Disaster simulation; Evaluation method; Local government; Probability modeling; Computer simulation |
|
| |
Abstract |
Agent-based simulations enable the simulation of social phenomenon by representing human behaviors using agents. Human actions such as evacuating to safe havens or extinguishing fires in disaster areas are important during earthquakes. The inclusion of human actions in calculating the damage at disaster sites provides useful data to local governments for planning purposes. In order to practically apply these simulation results, these results should be tested using actual data. Further, these results should be analyzed and explained in a manner that people who are not agent programmers can also understand easily. First, the possibility of applying agent-based approaches to social tasks is shown by comparing the simulation results with those obtained from other methods. Next, we propose a method to present agent behaviors using a probability model and discuss the results of applying this method to the RoboCup Rescue simulation data. These will delve into future research topics for developing agent based social simulations to practical ones. |
|
| |
Address |
Meijo University, Japan |
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
|
| |
Language |
English |
Summary Language |
English |
Original Title |
|
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
|
|
| |
Track |
ASCM |
Expedition |
|
Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
|
| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
988 |
|
| Share this record to Facebook |
