rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Multiscale Modeling of Pedestrian Dynamics
  name:
    name part: Cristiani, Emiliano.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Piccoli, Benedetto.
    role:
      role term: author.
  name:
    name part: Tosin, Andrea.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 260 p. 62 illus., 45 illus. in color. online resource.
  abstract: 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.
  table of contents: 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.
  note: by Emiliano Cristiani, Benedetto Piccoli, Andrea Tosin.
  subject:
    topic: Mathematics
  subject:
    topic: Partial differential equations
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Game theory
  subject:
    topic: System theory
  subject:
    topic: Mathematical physics
  subject:
    topic: Mathematical models
  subject:
    topic: Mathematics
  subject:
    topic: Partial Differential Equations
  subject:
    topic: Complex Systems
  subject:
    topic: Mathematical Applications in the Physical Sciences
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Game Theory, Economics, Social and Behav. Sciences
  subject:
    topic: Applications of Mathematics
  classification: QA370-380
  classification: 515.353
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: MS&A, Modeling, Simulation and Applications, 12
  identifier: 9783319066202
  identifier: http://dx.doi.org/10.1007/978-3-319-06620-2
  record info:
    record creation date: 140912
    record change date: 20151103124029.0
    record identifier: 978-3-319-06620-2