Application of simulation modeling to emergency population evacuation
Proceedings of the 29th conference on Winter simulation
The balanced likelihood ratio method for estimating performance measures of highly reliable systems
Proceedings of the 30th conference on Winter simulation
A fully sequential procedure for indifference-zone selection in simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Parallel and Distribution Simulation Systems
Parallel and Distribution Simulation Systems
Cognitive Work Analysis: Towards Safe, Productive, and Healthy Computer-Based Work
Cognitive Work Analysis: Towards Safe, Productive, and Healthy Computer-Based Work
Proceedings of the 33nd conference on Winter simulation
Ranking and Selection for Steady-State Simulation: Procedures and Perspectives
INFORMS Journal on Computing
Approximate time and temporal uncertainty in parallel and distributed simulation
Approximate time and temporal uncertainty in parallel and distributed simulation
Using Ranking and Selection to "Clean Up" after Simulation Optimization
Operations Research
Technosocial predictive analytics in support of naturalistic decision making
NDM'09 Proceedings of the 9th Bi-annual international conference on Naturalistic Decision Making
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Our nation has seen an increased need to train its civil authorities and emergency personnel under life-threatening scenarios where human life and critical infrastructure are assumed to be at risk. This training is typically obtained or re-enforced via (human) performance-based tests. At issue is the ability to accurately simulate the scenarios without exposing personnel or human test subjects to injury. In addition, these performance-based tests carry a large monetary cost, and certain scenarios are so complicated, catastrophic or rare that any performance-based test is unrealistic. Our paper outlines the research that must be conducted to develop a framework for modeling and analyzing risk-assessment and decision making when evacuating large populations. The research is aimed at extending an existing construct for simulating passenger and crew behavior during aircraft evacuations, to larger populations, and relies upon rare-event simulation methods, parallel-and-distributed simulation and agent-based simulation.