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: Traffic Flow Dynamics
    sub title: Data, Models and Simulation
  name:
    name part: Treiber, Martin.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Kesting, Arne.
    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: XIV, 506 p. online resource.
  abstract: This textbook provides a comprehensive and instructive coverage of vehicular traffic flow dynamics and modeling. It makes this fascinating interdisciplinary topic, which to date was only documented in parts by specialized monographs, accessible to a broad readership. Numerous figures and problems with solutions help the reader to quickly understand and practice the presented concepts. This book is targeted at students of physics and traffic engineering and, more generally, also at students and professionals in computer science, mathematics, and interdisciplinary topics. It also offers material for project work in programming and simulation at college and university level. The main part, after presenting different categories of traffic data, is devoted to a mathematical description of the dynamics of traffic flow, covering macroscopic models which describe traffic in terms of density, as well as microscopic many-particle models in which each particle corresponds to a vehicle and its driver. Focus chapters on traffic instabilities and model calibration/validation present these topics in a novel and systematic way. Finally, the theoretical framework is shown at work in selected applications such as traffic-state and travel-time estimation, intelligent transportation systems, traffic operations management, and a detailed physics-based model for fuel consumption and emissions.
  table of contents: Introduction -- Part I Traffic Data: Trajectroy and Floating-Car Data -- Cross-Sectional Data -- Representations of Cross-Sectional Data -- Spatiotemporal Reconstruction of the Traffic State -- Part II Traffic Flow Modeling: General Aspects -- Continuity Equation -- The Lighthill-Whitham-Richards Model -- Macroscopic Models with Dynamic Velocity -- Elementary Car-Following Models -- Car-Following Models based on Driving Strategies -- Modeling Human Aspects of Driving Behavior -- Cellular Automata -- Lane-Changing and other Discrete-Choice Situations -- Stability Analysis -- Calibration and Validation -- The Phase Diagram of Congested Traffic States -- Part III Applications of Traffic Flow Theory: Traffic Flow Breakdown and Traffic-State Recognition -- Travel Time Estimation -- Fuel Consumption and Emissions -- Model-Based Traffic-Flow Optimization -- Solutions to the Problems.
  note: by Martin Treiber, Arne Kesting.
  subject:
    topic: Physics
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Mathematical models
  subject:
    topic: Mathematical optimization
  subject:
    topic: Statistical physics
  subject:
    topic: Dynamical systems
  subject:
    topic: Complexity, Computational
  subject:
    topic: Physics
  subject:
    topic: Statistical Physics, Dynamical Systems and Complexity
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Complexity
  subject:
    topic: Optimization
  subject:
    topic: Numerical and Computational Physics
  subject:
    topic: Operation Research/Decision Theory
  classification: QC174.7-175.36
  classification: 621
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783642324604
  identifier: http://dx.doi.org/10.1007/978-3-642-32460-4
  record info:
    record creation date: 121026
    record change date: 20151204171824.0
    record identifier: 978-3-642-32460-4