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SIMULATION BASED PREDICTION OF THE NEAR-FUTURE EMERGENCY MEDICAL SERVICES SYSTEM STATE
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5868-2388
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
2018 (English)In: 2018 WINTER SIMULATION CONFERENCE (WSC), IEEE , 2018, p. 2542-2553Conference paper, Published paper (Refereed)
Abstract [en]

An ambulance dispatcher decides which ambulances to allocate to new calls, and how to relocate ambulances in order to maintain a good coverage. Doing this, it is valuable to have information about the future expected response times in different parts of the area of responsibility, as well as the expected number of available ambulances. We present a simulation model that can be used to predict this, and compare the results to a naive forecasting model. The results show that while it is difficult to accurately predict the future system state, the simulation based prediction manages this better than the naive model.

Place, publisher, year, edition, pages
IEEE , 2018. p. 2542-2553
Series
Winter Simulation Conference Proceedings, ISSN 0891-7736
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-156225DOI: 10.1109/WSC.2018.8632445ISI: 000461414102064ISBN: 978-1-5386-6572-5 (electronic)OAI: oai:DiVA.org:liu-156225DiVA, id: diva2:1303201
Conference
Winter Simulation Conference (WSC)
Note

Funding Agencies|SOS Alarm Sweden AB; Lindholmen Science Park through TUCAP

Available from: 2019-04-09 Created: 2019-04-09 Last updated: 2019-04-09

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf