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In order to reduce the hazards of biochemical terrorist attacks to the countries and regions, Bayesian network model was used to identify poison according to the observed preliminary symptoms of the poisoning people. As the collected dataset had the characteristics of high-dimensional and small sample, we proposed a Bayesian network structure learning(More)
In this paper, we investigate the real-time vehicle scheduling problem for rescuing victims with constraint of the prime rescue time under the context of multi-location biochemical terrorist attacks (BTAs). A mathematical model is proposed to choose available hospitals for each victim point according to the prime rescue time and dispatch vehicles to(More)
The problem of assigning centrality values to nodes in a graph has been widely investigated during recent years. It is especially important to measure nodes' centrality in terrorist and transportation networks. Because these nodes could be anything important, could spread, accept and destroy some essential information, we should try our best to determine(More)
Biochemical terrorist attack will cause a large number of victims flock to the nearest hospital in a short period of time. It is necessary that these victims get medical treatment in the " golden hour ". In this paper, we proposed a method by formulating this into a transient non-steady-state system of Queuing Theory. The method can provide model and(More)
In this paper, we investigate the vehicle scheduling problem for rescuing victims under the context of multi-location chemical and biological terrorist attacks (CBTAs). A mathematical model is proposed to choose available hospitals for each victim point according to the prime rescue time and dispatch vehicles to transport victims to hospitals depending on(More)
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