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Directional enhancements for emergency navigation

机译:紧急导航的方向增强

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We present a novel direction based shortest path search algorithm to guide evacuees during an emergency. It uses opportunistic communications (oppcomms) with low-cost wearable mobile nodes that can exchange packets at close range of a few to some tens of meters without help of an infrastructure. The algorithm seeks the shortest path to exits which are safest with regard to a hazard, and is integrated into an autonomous Emergency Support System (ESS) to guide evacuees in a built environment. The ESS that we propose, that includes the directional algorithm and the Oppcomms, are evaluated using simulation experiments with the DBES (Distributed Building Evacuation Simulator) tool by simulating a shopping centre where fire is spreading. The results show that the directional path finding algorithm can offer significant improvements for the evacuees. In particular, we see that the improved and more reliable communications offered by Oppcomms, especially when the number of evacuees is larger, can help to compensate for the effects of congestion and improve the overall success of the evacuation scheme. Throughout the simulations we observe improvements of a few percent, which can translate into a valuable number of more people that are safely evacuated when human lives and safety are at risk.
机译:我们提出一种新颖的基于方向的最短路径搜索算法,以在紧急情况下指导撤离人员。它使用机会通信(oppcomms)和低成本的可穿戴移动节点,可以在几米至几十米的近距离内交换数据包而无需基础架构。该算法寻找最安全的出口通道,该通道在危害方面最安全,并集成到自治应急支持系统(ESS)中,以在建筑环境中引导疏散人员。我们通过模拟一个火灾蔓延的购物中心,使用DBES(分布式建筑物疏散模拟器)工具进行模拟实验,评估了我们提出的ESS,其中包括定向算法和Oppcomms。结果表明,定向路径查找算法可以为撤离人员提供明显的改进。特别是,我们看到,Oppcomms提供的改进且更可靠的通信,尤其是在疏散人数更多的情况下,可以帮助弥补交通拥堵的影响并提高疏散方案的整体成功率。在整个模拟过程中,我们观察到百分之几的改善,这可以转化为更多的人,当人们的生命和安全受到威胁时,这些人可以安全撤离。

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