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A knowledge-based approach to crowd classification

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Abstract This paper illustrates a formal tool for knowledge representation and management in the crowding area, in order to improve on the sharing of knowledge, data and information produced by different models and simulation tools. The presented
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  A Knowledge-Based Approachto Crowd Classification Fifth International Conference on Pedestrian and Evacuation DynamicsNational Institute of Standards and Technology, Gaithersburg, MD USAMarch 8-10, 2010   S.Bandini, L.Manenti, S.Manzoni, F. SartoriCSAI –ComplexSystems& ArtificialIntelligenceResearchCenterUniversityofMilano-Bicocca{bandini, manenti, manzoni, sartori}@disco.unimib.it  Presentation Outline • crowding phenomena • general methodology • tool development • ontology implementation • case study • future works PED 2010 -March 9th -Washington2  Crowdingphenomena -The studyofhowpeople behaveand move- • Worldwide ResearchNetwork:  –  todescribehumanbehaviorsandinteractions;  –  observationsand data bymultiple disciplinesforheterogeneousaimsusingheterogeneous • Force-basedmodels(Helbing, 1995); • CellularAutomatabasedmodels(Schadschneider, 2001); • Multi-AgentSystemsbasedmodels(SCA, 2002 ); • ….. 3PED 2010 -March 9th -Washington  Crowdingphenomena -The studyofhowpeople behaveand move- • Worldwide ResearchNetwork:  –  todescribehumanbehaviorsandinteractions;  –  observationsand data bymultiple disciplinesforapproaches: Loss ofdata, information and sharedsemanticInitiativesorientedtodatasharingformodelbenchmarkingandvalidationintheComputerScienceArea 4PED 2010 -March 9th -Washington  CrowdProfiling: identify peculiarcrowd features CrowdProfilingCrowdModeling CrowdModeling: abstraction andrepresentation of pedestrians The two-levelsapproachforcrowdstudy   Fuzzy logicOntologyDirect observationSCA behaviour Supported by: Fuzzy logicOntologyDirect observation Supported by: SCA Tools for explicit representationof crowds domain which providesusers with domain semanticto share knowledge. 5PED 2010 -March 9th -Washington
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