Dynamic data driven application simulation of surface transportation systems

Authors:
R. Fujimoto;R. Guensler;M. Hunter;H. -K. Kim;J. Lee;J. Leonard;M. Palekar;K. Schwan;B. Seshasayee
Affiliations:
Georgia Institute of Technology, Atlanta, GA;Georgia Institute of Technology, Atlanta, GA;Georgia Institute of Technology, Atlanta, GA;Georgia Institute of Technology, Atlanta, GA;Georgia Institute of Technology, Atlanta, GA;Georgia Institute of Technology, Atlanta, GA;Georgia Institute of Technology, Atlanta, GA;Georgia Institute of Technology, Atlanta, GA;Georgia Institute of Technology, Atlanta, GA
Venue:
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Year:
2006

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Abstract

A project concerned with applying Dynamic Data Driven Application Simulations (DDDAS) to monitor and manage surface transportation systems is described. Building upon activities such as the Vehicle-Infrastructure Integration initiative, a hierarchical DDDAS architecture is presented that includes coupled in-vehicle, roadside, and traffic management center simulations. The overall architecture is described as well as current work to implement and evaluate the effectiveness of this approach for a portion the Atlanta metropolitan area in the context of a hypothesized emergency evacuation scenario.