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Title: Crowd simulation with smart objects and inference engine
Authors: Tan, Debbie Su Li.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
Issue Date: 2009
Abstract: Crowd behaviour modelling and simulation has become more essential for the purpose of military training. This report seeks to detail the creation of an informed environment with the adoption of Urban Environment Model (UEM) and Smart Objects to model a train station in Singapore Context. To model a realistic and dynamic system, this project – an extension of the COSMOS project, explores the use of rule engine to model varying population compositions with time, of which a population make-up will interact differently with objects. The resulting scenario-based COSMOS system is capable of providing flexibility in changing scenarios by simply having different behaviour rule files. The adaptability provided by this system may be seen in experiments conducted in this report.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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