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Conceptual Model of a Self-Organizing Traffic Management Hazard Response System

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dc.contributor.author Bronzini, Michael
dc.contributor.author Kicinger, Rafal P.
dc.date.accessioned 2006-03-14T20:55:25Z
dc.date.available 2006-03-14T20:55:25Z
dc.date.issued 2006-01
dc.identifier.citation Bronzini, M., and Kicinger, R. (2006). "Conceptual model of a self-organizing traffic management hazard response system." Compendium of Papers CD-ROM of the Transportation Research Board 85th Annual Meeting, Washington, DC, January 22-26, 2006, Washington, DC. (poster). en
dc.identifier.uri https://hdl.handle.net/1920/633
dc.description.abstract The terrorist attacks of September 11, 2001 have sparked renewed interest in developing effective policies and strategies for evacuating densely populated areas. The current analytical tools for dealing with such evacuations are sorely lacking, in both theory and practice. The conceptual model presented in this paper marries the technical areas of cellular automata, evolutionary computation, and transportation science, along with some recent research on infrastructure security, to make significant progress in traffic management and hazard response systems. The overall goal of this research is to develop a fundamental understanding of the evolutionary and emergent behavior of transportation systems that are operating under emergency evacuation conditions. This new knowledge can be utilized to develop more effective operational strategies and consequently more robust hazard response systems. Furthermore, the specific research objective is to investigate the formulation and application of cellular automata models of metropolitan transportation systems, with a focus on systems operating under emergency evacuation conditions. The basic context is evacuation of a defined urban area, such as the urban core of Washington, DC under terrorist attacks. The conceptual model proposes the use of evolutionary algorithms to search the space of the evacuation control strategies and determine the most successful strategies for a given urban area.
dc.format.extent 2043 bytes
dc.format.extent 2216 bytes
dc.format.extent 1436041 bytes
dc.format.mimetype application/octet-stream
dc.format.mimetype application/octet-stream
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.title Conceptual Model of a Self-Organizing Traffic Management Hazard Response System en
dc.type Presentation en


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