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: Macroscopic Models for Vehicular Flows and Crowd Dynamics: Theory and Applications
    sub title: Classical and Non–Classical Advanced Mathematics for Real Life Applications
  name:
    name part: Rosini, Massimiliano Daniele.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 242 p. online resource.
  abstract: This monograph presents a systematic treatment of the theory for hyperbolic conservation laws and their applications to vehicular traffics and crowd dynamics. In the first part of the book, the author presents very basic considerations and gradually introduces the mathematical tools necessary to describe and understand the mathematical models developed in the following parts focusing on vehicular and pedestrian traffic. The book is a self-contained valuable resource for advanced courses in mathematical modeling, physics and civil engineering. A number of examples and figures facilitate a better understanding of the underlying concepts and motivations for the students. Important new techniques are presented, in particular the wave front tracking algorithm, the operator splitting approach, the non-classical theory of conservation laws and the constrained problems. This book is the first to present a comprehensive account of these fundamental new mathematical advances. .
  table of contents: Part I Mathematical Theory -- Part II Models for Vehicular Traffic -- Part III Models for Pedestrian Traffic.
  note: by Massimiliano Daniele Rosini.
  subject:
    topic: Engineering
  subject:
    topic: Statistical physics
  subject:
    topic: Complexity, Computational
  subject:
    topic: Engineering
  subject:
    topic: Complexity
  subject:
    topic: Nonlinear Dynamics
  classification: QA76.9.M35
  classification: 620
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Understanding Complex Systems
  identifier: 9783319001555
  identifier: http://dx.doi.org/10.1007/978-3-319-00155-5
  record info:
    record creation date: 130321
    record change date: 20151204153254.0
    record identifier: 978-3-319-00155-5