预览加载中，请您耐心等待几秒...

若干情境下行人走行及疏散行为的实验和仿真研究.docx

预览
1/2
2/2

在线预览结束，喜欢就下载吧，查找使用更方便

下载提示 文本预览

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

若干情境下行人走行及疏散行为的实验和仿真研究 Title:ExperimentalandSimulationStudyonPedestrianMovementandEvacuationBehaviorinVariousScenarios Abstract: Inrecentyears,thestudyofpedestrianmovementandevacuationhasgainedsignificantattentionduetotheincreasingnumberofcrowdedpublicspacesandpotentialrisksofemergencies.Understandingthebehaviorofpedestriansindifferentscenariosisessentialfortheeffectivedesignandmanagementofpublicspaces,aswellasforensuringthesafetyandwell-beingofindividuals.Thispaperaimstoinvestigateandanalyzepedestrianmovementandevacuationbehaviorthroughacombinationofexperimentalstudiesandsimulations.Theexperimentsareconductedincontrolledenvironments,whilethesimulationsprovideaplatformtostudyscenariosthataredifficulttoreplicateinreal-lifeexperiments.Thefindingsfromthisresearchcancontributetothedevelopmentofstrategiesforoptimizingpedestrianflow,enhancingsafetymeasures,andimprovingthedesignofpublicspaces. Introduction: Pedestrianmovementandevacuationbehaviorhavebeenthesubjectsofextensiveresearchinthefieldofcrowddynamics.Thebehaviorofpedestriansisinfluencedbyvariousfactors,suchascrowddensity,environmentalconditions,andpersonalcharacteristics.Understandingthesefactorsiscrucialforpredictingandmanagingpedestrianflowinbothnormalandemergencysituations.Therefore,experimentalstudiesandsimulationsareessentialtoolsforcomprehensivelyexploringpedestrianbehavioranditsimplicationsforpublicspacedesignandsafetymeasures. Methods: Toinvestigatepedestrianmovementandevacuationbehavior,acombinationofexperimentalstudiesandsimulationsisemployed.Intheexperimentalsetup,acontrolledenvironmentwithdesignatedpathsandobstaclesiscreatedtoobserveandanalyzethebehaviorofpedestriansunderdifferentconditions.Variousparameters,suchaswalkingspeed,density,andresponsetoemergencies,aremeasuredandrecorded.Additionally,thesimulationmodelsaredevelopedusingsoftwareplatformsthatcanaccuratelyreplicatepedestrianbehaviorbasedonreal-lifedata.Byincorporatingdifferentscenarios,suchasacrowdedtrainstation,anoutdoorfestival,orabuildingevac