Model of a Self-Organizing Traffic Management Hazard Response System
| Autor: | Michael S. Bronzini, Rafal P. Kicinger |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
geography
Engineering geography.geographical_feature_category Emergency management business.industry Hazard analysis Computer security computer.software_genre Urban area Hazard Cellular automaton Evolutionary computation Risk analysis (engineering) Emergency evacuation business computer Implementation |
| Zdroj: | Applications of Advanced Technology in Transportation. |
| DOI: | 10.1061/40799(213)59 |
| Popis: | The terrorists attacks of September 11, 2001 and afterwards have caused renewed interest in developing effective policies and strategies for evacuating densely populated areas. The large-scale evacuations cause by Hurricane Katrina and other recent hurricane events have reinforced this need. Unfortunately, the current analytical tools for dealing with such evacuations are sorely lacking, in both theory and practice. The model and its computational implementation presented in this paper attempt to close this gap and make significant progress in traffic management and hazard response time. 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. Initial ideas on building conceptual models of evacuation scenarios utilizing cellular automata, evolutionary computation, and advanced traffic simulators were presented in the authors’ previous paper. This paper describes computational implementations of proposed conceptual models. It also discusses preliminary results of several computational experiments in which the modes were used to determine robust configurations of traffic control systems operating under emergency conditions. In these experiments, optimal evacuation strategies were sought for vehicles located within a representative urban area affected by various types of terrorist attacks. |
| Databáze: | OpenAIRE |
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