A self-organizing architecture for traffic management

8Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.
Get full text

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. © 2010 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free