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: Autonomic Road Transport Support Systems
  name:
    name part: McCluskey, Thomas Leo.
    role:
      role term: editor.
  name:
    name part: Kotsialos, Apostolos.
    role:
      role term: editor.
  name:
    name part: Müller, Jörg P.
    role:
      role term: editor.
  name:
    name part: Klügl, Franziska.
    role:
      role term: editor.
  name:
    name part: Rana, Omer.
    role:
      role term: editor.
  name:
    name part: Schumann, René.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VI, 304 p. 117 illus., 74 illus. in color. online resource.
  abstract: The work on Autonomic Road Transport Support (ARTS) presented here aims at meeting the challenge of engineering autonomic behavior in Intelligent Transportation Systems (ITS) by fusing research from the disciplines of traffic engineering and autonomic computing. Ideas and techniques from leading edge artificial intelligence research have been adapted for ITS over the last 30 years. Examples include adaptive control embedded in real time traffic control systems, heuristic algorithms (e.g. in SAT-NAV systems), image processing and computer vision (e.g. in automated surveillance interpretation). Autonomic computing which is inspired from the biological example of the body’s autonomic nervous system is a more recent development. It allows for a more efficient management of heterogeneous distributed computing systems. In the area of computing, autonomic systems are endowed with a number of properties that are generally referred to as self-X properties, including self-configuration, self-healing, self-optimization, self-protection and more generally self-management. Some isolated examples of autonomic properties such as self-adaptation have found their way into ITS technology and have already proved beneficial. This edited volume provides a comprehensive introduction to Autonomic Road Transport Support (ARTS) and describes the development of ARTS systems. It starts out with the visions, opportunities and challenges, then presents the foundations of ARTS and the platforms and methods used and it closes with experiences from real-world applications and prototypes of emerging applications. This makes it suitable for researchers and practitioners in the fields of autonomic computing, traffic and transport management and engineering, AI, and software engineering. Graduate students will benefit from state-of-the-art description, the study of novel methods and the case studies provided.
  table of contents: Part I Challenges (Scenarios, Requirements) -- Part II Foundations of ARTS – Theories, Concepts, Architectures, and Algorithms -- Part III Platforms, Engineering Methods and Methodologies -- Part IV Applications.
  note: edited by Thomas Leo McCluskey, Apostolos Kotsialos, Jörg P. Müller, Franziska Klügl, Omer Rana, René Schumann.
  subject:
    topic: Computer science
  subject:
    topic: Software engineering
  subject:
    topic: Database management
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer simulation
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Simulation and Modeling
  subject:
    topic: Software Engineering/Programming and Operating Systems
  subject:
    topic: Database Management
  subject:
    topic: Information Systems Applications (incl. Internet)
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Autonomic Systems
  identifier: 9783319258089
  identifier: http://dx.doi.org/10.1007/978-3-319-25808-9
  record info:
    record creation date: 160503
    record change date: 20160503153324.0
    record identifier: 978-3-319-25808-9