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. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Zalila-Wenkstern, R., Steel, T., & Leask, G. (2010). A self-organizing architecture for traffic management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6090 LNCS, pp. 230–250). https://doi.org/10.1007/978-3-642-14412-7_11
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