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A Self-organizing Architecture for Traffic Management

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 6090))

Abstract

In this paper we discuss the use of self-organizing architectures for traffic management systems. We briefly introduce Soteria, a multi-layered, integrated, infrastructure for traffic safety enhancement and congestion reduction. We highlight Soteria’s use of micro- and macro-level models and its hybrid top-down/bottom-up strategy for traffic management. We then present a generic architecture that can be used to develop simulation systems for real world self-organizing systems. Lastly, we describe how this generic architecture can be instantiated to create the architecture of Matisse, a tailor made distributed simulation system for Soteria.

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Zalila-Wenkstern, R., Steel, T., Leask, G. (2010). A Self-organizing Architecture for Traffic Management. In: Weyns, D., Malek, S., de Lemos, R., Andersson, J. (eds) Self-Organizing Architectures. SOAR 2009. Lecture Notes in Computer Science, vol 6090. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14412-7_11

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  • DOI: https://doi.org/10.1007/978-3-642-14412-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14411-0

  • Online ISBN: 978-3-642-14412-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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