基于细分元胞自动机的混合速度行人疏散流的仿真研究

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1、基于细分元胞自动机的混合速度行人疏散流的仿真研究Abstract:Inordertoresearchthemixed-velocitypedestrianevacuationflow,weimprovetheclassicalcellularautomatonmodelandgetafinecellularautomatonmodel.Thenweaddmixed-velocitypedestrianflowintoournewmodel.Duringtheevacuationprocess,high-speedandlow-speedpedestriancanchoosediffer

2、entevacuationstrategies.Accordingtothesimulationofpedestrianflowwithdifferentevacuationstrategies,wecangetthebestcombinationofstrategieswhichisclosetotherealenvironment.Wesimulatetheevacuationprocessofmulti-exitsmixed-velocitypedestrianflowusingthebestevacuationstrategyanddynamicweight.Thenanaly

3、sistheinflueneeontheevacuationtimewhentheevacuationflowhasdifferentratioofhigh-speedandlow-speedpedestriansanddifferentdensityofpedestrianflow・Keywords:finecellularautomata,mixed-velocity,evacuationstrategy,dynamicweights1.IntroductionTherehasbeenagreatinterestinstudyingpedestrianflowunderemerge

4、ncycircumstance・Understandingthemovementbehaviorofpedestriansinvarioussituationsisveryimportantindesigningandimprovingpublicplaces.Theexistingmodelsforstudyingpedestrianflowcanbeclassifiedintotwocategories,namelycontinuousanddiscreteones.Thecontinuousonemainlyineludesthesocialforce(SF)modelandth

5、ediscretechoice(DC)model.Thesocialforcemodelwasappliedtostudytheinflueneeofthedegreeofpanicontheevacuationvelocitiesofpedestrians⑴.Thediscreteonemainlyineludeslatticegas(LG)model⑵andcellularautomata(CA)model.IntheCAmodels,timeandspacearediscretized.Thismakesthesemodelsideallysuitedforlarge-scale

6、computersimulationsandtheCAapproachcouldbeappropriatetodescribepedestriandynamicsincomplexsituationsbecauseofitssimplicity,flexibilityandefficiency.AmongthestudyofpedestrianflowbasedonCAmodels,Burstedde131etal.proposedatwo-dimensionalcellularmodelwithexclusionstatisticsandparalleldynamicswhichco

7、uldbeusedinalargeroomwithoutobstacleandwithreducedvisibility.AnsgarKirchner[41etal.elucidatedtheinflueneeofthevariousmodelparameterstothestaticanddynamicfloorfieldsusingthecellularautomatamodelwithoneortwodoors-A.Varas⑸etal.