Overview
- 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)
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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.
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Table of contents (17 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
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Bibliographic Information
Book Title: Autonomic Road Transport Support Systems
Editors: Thomas Leo McCluskey, Apostolos Kotsialos, Jörg P. Müller, Franziska Klügl, Omer Rana, René Schumann
Series Title: Autonomic Systems
DOI: https://doi.org/10.1007/978-3-319-25808-9
Publisher: Birkhäuser Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-25806-5Published: 13 May 2016
eBook ISBN: 978-3-319-25808-9Published: 03 May 2016
Series ISSN: 2504-3862
Series E-ISSN: 2504-3870
Edition Number: 1
Number of Pages: VI, 304
Number of Illustrations: 43 b/w illustrations, 74 illustrations in colour
Topics: Artificial Intelligence, Simulation and Modeling, Software Engineering/Programming and Operating Systems, Database Management, Information Systems Applications (incl. Internet)