Skip to main content
Book cover
  • Book
  • © 2016

Autonomic Road Transport Support Systems

Birkhäuser

Editors:

  1. Thomas Leo McCluskey

    1. University of Huddersfield, School of Computing and Engineering, Huddersfield, United Kingdom

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Apostolos Kotsialos

    1. School of Engineering and Computing Scie, Durham University, Co Durham, United Kingdom

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Jörg P. Müller

    1. Department of Informatics, TU Clausthal, Clausthal-Zellerfeld, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Franziska Klügl

    1. Örebro University, School of Science and Technology, Sweden

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Omer Rana

    1. School of Computer Science and Informati, Cardiff University, Cardiff, United Kingdom

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. René Schumann

    1. Institute of Information Systems, HES-SO Valais-Wallis, Sierre, Switzerland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Shows new models and approaches centred around the novel idea of designing road transportation support systems based on the ideas of autonomic systems

  • Provides an overview of research by leading groups across Europe that is usually not communicated adequately among computer scientists and traffic engineers

  • Highlights important research directions appealing to areas of emerging interest like “smart cities” and “intelligent transport”

  • Includes supplementary material: sn.pub/extras

Part of the book series: Autonomic Systems (ASYS)

Sections

eBook USD 84.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-25808-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 109.99
Price excludes VAT (USA)
Learn about institutional subscriptions

This is a preview of subscription content, access via your institution.

Table of contents (17 chapters)

  1. Front Matter

    Pages i-vi
    PDF

  2. Autonomic Road Transport Support Systems: An Introduction

    • Thomas Leo McCluskey, Apostolos Kotsialos, Jörg P. Müller, Franziska Klügl, Omer F. Rana, René Schumann
    Pages 1-11

  4. Self-management in Urban Traffic Control: An Automated Planning Perspective

    • Falilat Jimoh, Thomas Leo McCluskey
    Pages 29-46

  6. A Multiagent Approach to Modeling Autonomic Road Transport Support Systems

    • Maksims Fiosins, Bernhard Friedrich, Jana Görmer, Dirk Mattfeld, Jörg P. Müller, Hugues Tchouankem
    Pages 67-85

  7. A Self-Optimization Traffic Model by Multilevel Formalism

    • Todor Stoilov, Krasimira Stoilova
    Pages 87-111

  8. An Organic Computing Approach to Resilient Traffic Management

    • Matthias Sommer, Sven Tomforde, Jörg Hähner
    Pages 113-130

  10. Simulation Testbed for Autonomic Demand-Responsive Mobility Systems

    • Michal Čertický, Michal Jakob, Radek Píbil
    Pages 147-164

  11. Multi-Agent Traffic Simulation for Development and Validation of Autonomic Car-to-Car Systems

    • Martin Schaefer, Jiří Vokřínek, Daniele Pinotti, Fabio Tango
    Pages 165-180

  12. Performance Maintenance of ARTS Systems

    • René Schumann
    Pages 181-195

  13. Learning-Based Control Algorithm for Ramp Metering

    • Martin Gregurić, Edouard Ivanjko, Sadko Mandžuka
    Pages 197-213

  14. An Autonomic Methodology for Embedding Self-tuning Competence in Online Traffic Control Systems

    • Anastasios Kouvelas, Diamantis Manolis, Elias Kosmatopoulos, Ioannis Papamichail, Markos Papageorgiou
    Pages 215-232

  15. Electric Vehicles in Road Transport and Electric Power Networks

    • Charalampos Marmaras, Erotokritos Xydas, Liana M. Cipcigan, Omer Rana, Franziska Klügl
    Pages 233-252

  16. Traffic Signal Control with Autonomic Features

    • Iisakki Kosonen, Xiaoliang Ma
    Pages 253-267

  17. TIMIPLAN: A Tool for Transportation Tasks

    • Javier García, Álvaro Torralba, José E. Florez, Daniel Borrajo, Carlos Linares López, Ángel García-Olaya
    Pages 269-285

  18. Applying the PAUSETA Protocol in Traffic Management Plans

    • Miguel Prades-Farrón, Luis A. García, Vicente R. Tomás
    Pages 287-302

  19. Back Matter

    Pages 303-304
    PDF
Back to top

About this book

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.
Back to top

Keywords

  • Intelligent Transportation Systems Architecture
  • artificial intelligence
  • autonomic computing
  • traffic control
  • traffic simulation
  • traffic surveillance
Back to top

Editors and Affiliations

  • University of Huddersfield, School of Computing and Engineering, Huddersfield, United Kingdom

    Thomas Leo McCluskey

  • School of Engineering and Computing Scie, Durham University, Co Durham, United Kingdom

    Apostolos Kotsialos

  • Department of Informatics, TU Clausthal, Clausthal-Zellerfeld, Germany

    Jörg P. Müller

  • Örebro University, School of Science and Technology, Sweden

    Franziska Klügl

  • School of Computer Science and Informati, Cardiff University, Cardiff, United Kingdom

    Omer Rana

  • Institute of Information Systems, HES-SO Valais-Wallis, Sierre, Switzerland

    René Schumann

Back to top

Bibliographic Information

Back to top
Access via your institution
eBook USD 84.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-25808-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 109.99
Price excludes VAT (USA)
Learn about institutional subscriptions