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Control Theoretic Approaches to Computational Modeling and Risk Mitigation for Large Crowd Management
Mohammed M. Alrashed, M.S., Electrical and Computer Engineering
Nov 11, 20:00
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21:00
KAUST
resource management
risk assessment
computational models
Abstract We develop a computational framework for risk mitigation in high population density events. With an increased global population, the frequency of high population density events is naturally increased. Therefore, risk-free crowd management plans are critical for efficient mobility, convenient daily life, resource management, and most importantly mitigation of any inadvertent incidents and accidents such as stampedes. The status-quo for crowd management plans is the use of human experience/expert advice. However, most often such dependency on human experience is insufficient, flawed
