We perform extensive numerical calculations with the model from (von Schantz & Ehtamo, 2014). We show that most collective effects observed in crowds evacuating through bottlenecks can be produced with the simple local-decision making model.
The previous publications considered the realistic and computationally efficient modeling crowd dynamics. In this manuscript, an optimization procedure for solving the minimum time evacuation plan using rescue guides is presented. The method is applied on an evacuation from a conference building, which gives an evacuation plan that decreases the evacuation time by 80%. A high-performance computing cluster is used to solve the problem.
Methods from investment portfolio optimization is used to solve the minimum time evacuation using rescue guides. With enough rescue guides the evacuation time in all scenarios can be optimized. If there is a restraint on the number of guides, there is a tradeoff between average- and worst case-performing evacuation plans.