04961nam 22008655 450 991029998000332120200702160428.03-319-06620-X10.1007/978-3-319-06620-2(CKB)3710000000239384(EBL)1968305(OCoLC)890809731(SSID)ssj0001354217(PQKBManifestationID)11868617(PQKBTitleCode)TC0001354217(PQKBWorkID)11323827(PQKB)10302904(MiAaPQ)EBC1968305(DE-He213)978-3-319-06620-2(PPN)181354403(EXLCZ)99371000000023938420140912d2014 u| 0engur|n|---|||||txtccrMultiscale Modeling of Pedestrian Dynamics /by Emiliano Cristiani, Benedetto Piccoli, Andrea Tosin1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (271 p.)MS&A, Modeling, Simulation and Applications,2037-5255 ;12Description based upon print version of record.3-319-06619-6 Includes bibliographical references and index.1 An Introduction to the Modeling of Crowd Dynamics -- 2 Problems and Simulations -- 3 Psychological Insights -- 4 An Overview of the Modeling of Crowd Dynamics -- 5 Multiscale Modeling by Time-Evolving Measures -- 6 Basic Theory of Measure-Based Models -- 7 Evolution in Measure Spaces with Wasserstein Distance -- 8 Generalizations of the Multiscale Approach -- 9 Appendices: A Basics of Measure and Probability Theory; B Pseudo-Code for the Multiscale Algorithm.This book presents mathematical models and numerical simulations of crowd dynamics. The core topic is the development of a new multiscale paradigm, which bridges the microscopic and macroscopic scales taking the most from each of them for capturing the relevant clues of complexity of crowds. The background idea is indeed that most of the complex trends exhibited by crowds are due to an intrinsic interplay between individual and collective behaviors. The modeling approach promoted in this book pursues actively this intuition and profits from it for designing general mathematical structures susceptible of application also in fields different from the inspiring original one. The book considers also the two most traditional points of view: the microscopic one, in which pedestrians are tracked individually, and the macroscopic one, in which pedestrians are assimilated to a continuum. Selected existing models are critically analyzed. The work is addressed to researchers and graduate students.MS&A, Modeling, Simulation and Applications,2037-5255 ;12Partial differential equationsSystem theoryMathematical physicsMathematical modelsGame theoryApplied mathematicsEngineering mathematicsPartial Differential Equationshttps://scigraph.springernature.com/ontologies/product-market-codes/M12155Complex Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/M13090Mathematical Applications in the Physical Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M13120Mathematical Modeling and Industrial Mathematicshttps://scigraph.springernature.com/ontologies/product-market-codes/M14068Game Theory, Economics, Social and Behav. Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M13011Applications of Mathematicshttps://scigraph.springernature.com/ontologies/product-market-codes/M13003Partial differential equations.System theory.Mathematical physics.Mathematical models.Game theory.Applied mathematics.Engineering mathematics.Partial Differential Equations.Complex Systems.Mathematical Applications in the Physical Sciences.Mathematical Modeling and Industrial Mathematics.Game Theory, Economics, Social and Behav. Sciences.Applications of Mathematics.388.41Cristiani Emilianoauthttp://id.loc.gov/vocabulary/relators/aut721782Piccoli Benedettoauthttp://id.loc.gov/vocabulary/relators/autTosin Andreaauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299980003321Multiscale Modeling of Pedestrian Dynamics2536885UNINA