Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
A novel simulation framework based on information asymmetry to evaluate evacuation plan
Visa övriga samt affilieringar
2015 (Engelska)Ingår i: The Visual Computer, ISSN 0178-2789, E-ISSN 1432-2315, Vol. 31, nr 6-8, s. 853-861Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

In this paper, we present a novel framework to simulate the crowd behavior under emergency situations in a confined space with multiple exits. In our work, we take the information asymmetry into consideration, which is used to model the different behaviors presented by pedestrians because of their different knowledge about the environment. We categorize the factors influencing the preferred velocity into two groups, the intrinsic and extrinsic factors, which are unified into a single space called influence space. At the same time, a finite state machine is employed to control the individual behavior. Different strategies are used to compute the preferred velocity in different states, so that our framework can produce the phenomena of decision change. Our experimental results prove that our framework can be employed to analyze the factors influencing the escape time, such as the number and location of exits, the density distribution of the crowd and so on. Thus it can be used to design and evaluate the evacuation plans. © 2015 Springer-Verlag Berlin Heidelberg

Ort, förlag, år, upplaga, sidor
2015. Vol. 31, nr 6-8, s. 853-861
Nyckelord [en]
Logic circuits, Crowd Simulation; Density distributions; Emergency evacuation; Emergency situation; Individual behavior; Influence space; Information asymmetry; Simulation framework, Behavioral research
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:bth-713DOI: 10.1007/s00371-015-1119-6ISI: 000357487500011Scopus ID: 2-s2.0-84928669865OAI: oai:DiVA.org:bth-713DiVA, id: diva2:815624
Tillgänglig från: 2015-06-01 Skapad: 2015-05-28 Senast uppdaterad: 2018-01-11Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Personposter BETA

Goswami, Prashant

Sök vidare i DiVA

Av författaren/redaktören
Goswami, Prashant
Av organisationen
Institutionen för kreativa teknologier
I samma tidskrift
The Visual Computer
Datavetenskap (datalogi)

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 241 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf