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020 _a9783319258089
024 7 _a10.1007/978-3-319-25808-9
_2doi
040 _aES-MaUEC
050 4 _aHE331
_b.A98 2016 EB
082 0 4 _a006.3
245 0 0 _aAutonomic Road Transport Support Systems
_cedited by Thomas Leo McCluskey, Apostolos Kotsialos, Jörg P Müller, Franziska Klügl, Omer Rana, René Schumann
264 1 _aCham
_bSpringer International Publishing
_bImprint
_bBirkhäuser
_c2016
300 _a1 recurso en línea (VI, 304 p.)
_b117 ilustraciones, 74 ilustraciones en color
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 1 _aAutonomic Systems
505 0 _aPart I Challenges (Scenarios, Requirements) -- Part II Foundations of ARTS Theories, Concepts, Architectures, and Algorithms -- Part III Platforms, Engineering Methods and Methodologies -- Part IV Applications.
520 3 _aThe 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 bodýs 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.
710 2 _aSpringerLink (Online service)
_0Local
_9106996
942 _2lcc
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988 _aEBOOK, EBSPRINGER
650 7 _aIngeniería de tráfico
_0comprobar BNE19913257962
_2embne
_9144847
650 7 _aIngeniería del software
_0comprobar BNE19971846593
_2embne
_9152630
700 1 _aMcCluskey, T. L.
_d1957-
_0n 93075652
_eeditor literario
_997858
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700 1 _aKotsialos, Apostolos
_0no2016107538
_eeditor literario
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700 1 _aMüller, Jörg P.
_0local
_eeditor literario
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700 1 _aKlügl, Franziska
_0nr2001021509
_eeditor literario
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700 1 _aRana, Omer
_0n 2001005817
_eeditor literario
_997862
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700 1 _aSchumann, Rene
_d1978-
_0no2016107812
_eeditor literario
_997863
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830 0 _aAutonomic Systems
_9134197
_0Local
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-25808-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783319258089
907 _a.b12944105
_b14-10-17
_c21-11-16
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