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Past work on evacuation planning assumes that evacuees will followinstructions -- however, there is ample evidence that this is not the case.While some people will follow instructions, others will follow their owndesires. In this paper, we present a formal definition of a behavior-basedevacuation problem (BBEP) in which a human behavior model is taken into accountwhen planning an evacuation. We show that a specific form of constraints can beused to express such behaviors. We show that BBEPs can be solved exactly via aninteger program called BB_IP, and inexactly by a much faster algorithm that wecall BB_Evac. We conducted a detailed experimental evaluation of bothalgorithms applied to buildings (though in principle the algorithms can beapplied to any graphs) and show that the latter is an order of magnitude fasterthan BB_IP while producing results that are almost as good on one real-worldbuilding graph and as well as on several synthetically generated graphs.

BB_Evac: Fast Location-Sensitive Behavior-Based Building Evacuation