A self-organizing architecture for traffic management

Authors:
Rym Zalila-Wenkstern;Travis Steel;Gary Leask
Affiliations:
MAVs Lab, Department of Computer Science, University of Texas at Dallas, Richardson, TX;MAVs Lab, Department of Computer Science, University of Texas at Dallas, Richardson, TX;MAVs Lab, Department of Computer Science, University of Texas at Dallas, Richardson, TX
Venue:
SOAR'09 Proceedings of the First international conference on Self-organizing architectures
Year:
2009

Citing 7
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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.