LEADER 03436nam  22005415  450 
001 9910483931903321
005 20200701053724.0
010   $a981-13-1846-8
024 7 $a10.1007/978-981-13-1846-7
035   $a(CKB)4100000006374571
035   $a(MiAaPQ)EBC5509356
035   $a(DE-He213)978-981-13-1846-7
035   $a(PPN)243770391
035   $a(EXLCZ)994100000006374571
100   $a20181108d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aCrowd Behavior Simulation of Pedestrians During Evacuation Process $eDEM-Based Approach /$fby Noorhazlinda Abd Rahman
205   $a1st ed. 2019.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019.
215   $a1 online resource (79 pages)
225 1 $aSpringerBriefs in Computational Intelligence,$x2625-3704
311   $a981-13-1845-X 
320   $aIncludes bibliographical references.
327   $aIntroduction -- DEM-Based Crowd Behavior Simulator -- Switching Action Behavior Model in Crowd Behavior Simulator -- Application of a Switching Action Behavior Model to DEM-Based Multi-Agent Crowd Behavior Simulator -- Recapitulation.
330   $aThis book introduces the use of the distinct element method (DEM) in modeling crowd behavior and simulating evacuation processes. Focusing on the mathematical computation of the uncertain behavior of evacuees, which is switching action behavior, it subsequently reproduces the crowd evacuation process under several conjectural scenarios using a DEM-based multi-agent model that has been modified by introducing the switching action behavior. The proposed switching action behavior model describes a person who has to change his/her destination due to the limited space capacity of the designated evacuation area. The change in the destination of a person is determined according to the motion of other individuals in the perception domain during the defined switching action time. The switching action time is formulated in the so-called switching action function, which is described by a convolution integral of the input and unit response functions. The newly developed switching action model is then validated using sensitivity analysis in which the primary focus is the crowd motion and flow of switching action behavior.
410  0$aSpringerBriefs in Computational Intelligence,$x2625-3704
606   $aComputational intelligence
606   $aComputer simulation
606   $aNumerical analysis
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000
606   $aNumerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M14050
615  0$aComputational intelligence.
615  0$aComputer simulation.
615  0$aNumerical analysis.
615 14$aComputational Intelligence.
615 24$aSimulation and Modeling.
615 24$aNumerical Analysis.
676   $a300.15118
700   $aAbd Rahman$b Noorhazlinda$4aut$4http://id.loc.gov/vocabulary/relators/aut$01226280
906   $aBOOK
912   $a9910483931903321
996   $aCrowd Behavior Simulation of Pedestrians During Evacuation Process$92847317
997   $aUNINA