Simulation of Evacuation Route Guidance Considering Evacuation Situation Changes in MANETBased Building Evacuation System A MANET (Mobile Ad Hoc NETwork) is a network that consists of mobile terminals such as smart phones. In MANETs, information messages can be exchanged directly among mobile terminals using wireless networks so that no centralized server or network infrastructure is required. Therefore, MANETs are very well suited as network technology in emergency situations. For providing the users with adequate evacuation routes, the location and behavior of users must be taken into account. This paper presents the simulation evaluation of a MANETbased building evacuation system which considers changes of the evacuation situation over time. In addition, we discuss the influence of different user behavior based on simulation experiments.

An Efficient Staged Evacuation Planning Algorithm Applied to MultiExit Buildings When the occupant density of buildings is large enough, evacuees are prone to congestion during emergency evacuation, which leads to the extension of the overall escape time. Especially for multiexit buildings, itxe2x80x99s a challenging problem to afford an effective evacuation plan. In this paper, a novel evacuation planning algorithm applied to multiexit buildings is proposed, which is based on an indoor route network model. Firstly, evacuees are grouped by their location proximity, then all groups are approximately equally classified into several evacuation zones, each of which has only one safe exit. After that, all evacuation groups in the same zone are sorted by their shortest path length, then the time window of each evacuation group occupying the safe exit is calculated in turn. In the case of congestion at the safe exit, the departure time of each evacuation group is delayed in its arrival order. The objectives of the proposed algorithm include minimizing the total evacuation time of all evacuees, the travel time of each evacuee, avoiding traffic congestion, balancing traffic loads among different exits, and achieving high computational efficiency. Case studies are conducted to examine the performance of our algorithm. The influences of group number, group size, evacuation speed on the total evacuation time are discussed on a singleexit network, and that of partitioning methods and evacuation density on the performance and applicability in different congestion levels are also discussed on a multiexit network. Results demonstrate that our algorithm has a higher efficiency and performs better for evacuations with a large occupant density.