Abstract
The emergency response process to multiple casualty incidents can be significantly enhanced by employing early assessments on the extent of the damage and life threat. In this paper we present an early scene assessment method, which assumes blast overpressure information retrieved from pressure transducers, for enhancing the response to terrorist bombings which are performed inside public surface transportation vehicles. The method draws best and worst cases scenarios according to different lethality zones, which are computed upon the ESTC empirical indoor blast model. Additionally, we describe our experiments and analyze the corresponding results. Our main contribution relies on enhancing the existing emergency response process by providing early estimations on the number of immediate fatalities and critically injured survivors that responders and medical personnel may expect.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC |
| Pages | 226-231 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC - Sanya Duration: 2008 Apr 6 → 2008 Apr 8 |
Other
| Other | 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC |
|---|---|
| City | Sanya |
| Period | 08/4/6 → 08/4/8 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Control and Systems Engineering
Cite this
Aiding emergency response to multiple casualty terrorist bombings targeting public surface transportation vehicles. / Da Silva, Marcus L.; Matsumoto, Mitsuji.
Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC. 2008. p. 226-231 4525215.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Aiding emergency response to multiple casualty terrorist bombings targeting public surface transportation vehicles
AU - Da Silva, Marcus L.
AU - Matsumoto, Mitsuji
PY - 2008
Y1 - 2008
N2 - The emergency response process to multiple casualty incidents can be significantly enhanced by employing early assessments on the extent of the damage and life threat. In this paper we present an early scene assessment method, which assumes blast overpressure information retrieved from pressure transducers, for enhancing the response to terrorist bombings which are performed inside public surface transportation vehicles. The method draws best and worst cases scenarios according to different lethality zones, which are computed upon the ESTC empirical indoor blast model. Additionally, we describe our experiments and analyze the corresponding results. Our main contribution relies on enhancing the existing emergency response process by providing early estimations on the number of immediate fatalities and critically injured survivors that responders and medical personnel may expect.
AB - The emergency response process to multiple casualty incidents can be significantly enhanced by employing early assessments on the extent of the damage and life threat. In this paper we present an early scene assessment method, which assumes blast overpressure information retrieved from pressure transducers, for enhancing the response to terrorist bombings which are performed inside public surface transportation vehicles. The method draws best and worst cases scenarios according to different lethality zones, which are computed upon the ESTC empirical indoor blast model. Additionally, we describe our experiments and analyze the corresponding results. Our main contribution relies on enhancing the existing emergency response process by providing early estimations on the number of immediate fatalities and critically injured survivors that responders and medical personnel may expect.
UR - http://www.scopus.com/inward/record.url?scp=49249089033&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=49249089033&partnerID=8YFLogxK
U2 - 10.1109/ICNSC.2008.4525215
DO - 10.1109/ICNSC.2008.4525215
M3 - Conference contribution
AN - SCOPUS:49249089033
SN - 9781424416851
SP - 226
EP - 231
BT - Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC
ER -