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1、Collabmap:CrowdsourcingMapsforEmergencyPlanningSarvapaliD.Ramchurn,1TrungDongHuynh,1MatteoVenanzi,1BingShi21ElectronicsandComputerScience,UniversityofSouthampton,UnitedKingdom{sdr,tdh,mv1g10}@ecs.soton.ac.uk2SchoolofComputerScienceandTechnology,WuhanUnivers
2、ityofTechnologyWuhan,Chinabingshi@whut.edu.cnABSTRACTties(e.g.thespacearoundastadiumoracommercialcentreInthispaper,wepresentasoftwaretooltohelpemergencybothconstituteevacuationroutesofdi erentshapesandplannersatHampshireCountyCouncilintheUKtocreatesizes).Se
3、condly,evenifsomeofthedataaboutevacuationmapsforhigh- delitycrowdsimulationsthatrequireevac-routesisavailable,thereal-worldconnectionpointsbetweenuationroutesfrombuildingstoroads.Themainfeaturethesespacesandroadsandbuildingsisusuallynotwellde-ofthesystemisa
4、crowdsourcingmechanismthatbreaks nedunlessdatafrombuildings'ownerscanbeobtaineddowntheproblemofcreatingevacuationroutesintomicro-(e.g.buildingentrances,borders,andfences).Finally,intasksthatacontributortotheplatformcanexecuteinlessordertoaugmentcurrentmapsw
5、ithaccuratespatialdata,thanaminute.Aspartofthemechanismwedevelopeditwouldrequireeitheragoodsetoftrainingdata(whichisaconcensus-basedtrustmechanismthat ltersoutincor-notavailabletoourknowledge)foracomputervisionalgo-rectcontributionsandensuresthattheindividu
6、altasksarerithmtode neevacuationroutesusingpictures(workingoncompleteandcorrect.Todrivepeopletocontributetotheaerialmaps)orasigni cantamountofmanpowertodirectlyplatform,weexperimentedwithdi erentincentivemecha-surveyavastarea.nismsandappliedtheseoverdi eren
7、ttimescales,theaimbeingtoevaluatewhatincentivesworkwithdi erenttypesAgainstthisbackground,wedevelopedanovelmodelof1ofcrowds,includinganonymouscontributorsfromAmazongeospatialdatacreation,calledCollabMap,thatreliesonMechanicalTurk.Theresultsofthe`inthewild'd
8、eploymenthumancomputation.CollabMapisacrowdsourcingtooltoofthesystemshowthatthesystemise ectiveatengaginggetuserstoperformmicro-tasksthatinvolveaugmentingex-contributorstoperformtaskscorrectlyandthatus
