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ActivitySim [electronic resource] : large-scale agent based activity generation for infrastructure simulation

Published
Washington, D.C. : United States. Dept. of Energy, 2008.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Additional Creators
Los Alamos National Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
The United States' Department of Homeland Security aims to model, simulate, and analyze critical infrastructure and their interdependencies across multiple sectors such as electric power, telecommunications, water distribution, transportation, etc. We introduce ActivitySim, an activity simulator for a population of millions of individual agents each characterized by a set of demographic attributes that is based on US census data. ActivitySim generates daily schedules for each agent that consists of a sequence of activities, such as sleeping, shopping, working etc., each being scheduled at a geographic location, such as businesses or private residences that is appropriate for the activity type and for the personal situation of the agent. ActivitySim has been developed as part of a larger effort to understand the interdependencies among national infrastructure networks and their demand profiles that emerge from the different activities of individuals in baseline scenarios as well as emergency scenarios, such as hurricane evacuations. We present the scalable software engineering principles underlying ActivitySim, the socia-technical modeling paradigms that drive the activity generation, and proof-of-principle results for a scenario in the Twin Cities, MN area of 2.6 M agents.
Report Numbers
E 1.99:la-ur-08-07134
E 1.99: la-ur-08-7134
la-ur-08-7134
la-ur-08-07134
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Note
Published through SciTech Connect.
01/01/2008.
"la-ur-08-07134"
" la-ur-08-7134"
Agent-Directed Simulation (ADS'09) ; March 22, 2009 ; San Diego.
Mniszewski, Sue; Eidenbenz, Stephan; Teuscher, Christof; Gali, Emmanuel; Cuellar, Leticia.
Funding Information
AC52-06NA25396
View MARC record | catkey: 14654566