Fast post-disaster emergency vehicle scheduling

Roberto Amadini; Imane Sefrioui; Jacopo Mauro; Maurizio Gabbrielli

doi:10.1007/978-3-319-00551-5_27

Fast post-disaster emergency vehicle scheduling

Roberto Amadini, Imane Sefrioui, Jacopo Mauro, Maurizio Gabbrielli

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Disasters like terrorist attacks, earthquakes, hurricanes, and volcano eruptions are usually unpredictable events that affect a high number of people. We propose an approach that can be used as a decision support tool for a post-disaster response that allows the assignment of victims to hospitals and organizes their transportation via emergency vehicles. Exploiting Operational Research and Constraint Programming techniques we are able to compute assignments and schedules of vehicles that save more victims than heuristic based approaches.

Original language	English
Title of host publication	Distributed Computing and Artificial Intelligence - 10th International Conference
Number of pages	8
Publisher	Springer
Publication date	1. Jan 2013
Pages	219-226
ISBN (Print)	9783319005508
DOIs	https://doi.org/10.1007/978-3-319-00551-5_27
Publication status	Published - 1. Jan 2013
Externally published	Yes
Event	10th International Symposium on Distributed Computing and Artificial Intelligence 2013, DCAI 2013 - Salamanca, Spain Duration: 22. May 2013 → 24. May 2013

Conference

Conference	10th International Symposium on Distributed Computing and Artificial Intelligence 2013, DCAI 2013
Country/Territory	Spain
City	Salamanca
Period	22/05/2013 → 24/05/2013
Sponsor	et al., IBM Corp, Indra, Ingenieria de Software Avanzado S.A.,, INSA, Telefonica Digital

Series	Advances in Intelligent Systems and Computing
Volume	217
ISSN	2194-5357

Documents & Links

10.1007/978-3-319-00551-5_27

Cite this

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title = "Fast post-disaster emergency vehicle scheduling",

abstract = "Disasters like terrorist attacks, earthquakes, hurricanes, and volcano eruptions are usually unpredictable events that affect a high number of people. We propose an approach that can be used as a decision support tool for a post-disaster response that allows the assignment of victims to hospitals and organizes their transportation via emergency vehicles. Exploiting Operational Research and Constraint Programming techniques we are able to compute assignments and schedules of vehicles that save more victims than heuristic based approaches.",

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Amadini, R, Sefrioui, I, Mauro, J & Gabbrielli, M 2013, Fast post-disaster emergency vehicle scheduling. in Distributed Computing and Artificial Intelligence - 10th International Conference. Springer, Advances in Intelligent Systems and Computing, vol. 217, pp. 219-226, 10th International Symposium on Distributed Computing and Artificial Intelligence 2013, DCAI 2013, Salamanca, Spain, 22/05/2013. https://doi.org/10.1007/978-3-319-00551-5_27

Fast post-disaster emergency vehicle scheduling. / Amadini, Roberto; Sefrioui, Imane; Mauro, Jacopo et al.
Distributed Computing and Artificial Intelligence - 10th International Conference. Springer, 2013. p. 219-226 (Advances in Intelligent Systems and Computing, Vol. 217).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Fast post-disaster emergency vehicle scheduling

AU - Amadini, Roberto

AU - Sefrioui, Imane

AU - Mauro, Jacopo

AU - Gabbrielli, Maurizio

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Disasters like terrorist attacks, earthquakes, hurricanes, and volcano eruptions are usually unpredictable events that affect a high number of people. We propose an approach that can be used as a decision support tool for a post-disaster response that allows the assignment of victims to hospitals and organizes their transportation via emergency vehicles. Exploiting Operational Research and Constraint Programming techniques we are able to compute assignments and schedules of vehicles that save more victims than heuristic based approaches.

AB - Disasters like terrorist attacks, earthquakes, hurricanes, and volcano eruptions are usually unpredictable events that affect a high number of people. We propose an approach that can be used as a decision support tool for a post-disaster response that allows the assignment of victims to hospitals and organizes their transportation via emergency vehicles. Exploiting Operational Research and Constraint Programming techniques we are able to compute assignments and schedules of vehicles that save more victims than heuristic based approaches.

U2 - 10.1007/978-3-319-00551-5_27

DO - 10.1007/978-3-319-00551-5_27

M3 - Article in proceedings

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SN - 9783319005508

T3 - Advances in Intelligent Systems and Computing

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BT - Distributed Computing and Artificial Intelligence - 10th International Conference

PB - Springer

T2 - 10th International Symposium on Distributed Computing and Artificial Intelligence 2013, DCAI 2013

Y2 - 22 May 2013 through 24 May 2013

ER -

Fast post-disaster emergency vehicle scheduling

Abstract

Conference

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