The Best Way to Find an Evacuation Route for Fire Emergency

Lei Lei Win, Nilar Thein
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Abstract

Evacuation route planning for urban area is important in a natural or man-made disaster. Fires in urban area have been one of the most dangerous problems in developing countries such as Myanmar. It is needed to develop effective planning to response and rescue in time locally everywhere because damage properties of fires have increased in present day. This paper presents an offline evacuation route planning method to provide for rescue schemes as fast as possible without the internet. The proposed algorithm calculates the shortest route between the nearest fire station such as rescue place and any fire incident as accident place by adding information of parent nodes to the A* algorithm to reduce searching time. It has two parts for generating efficient evacuation route. The first is producing the shortest route for fire engines to go to emergency places. Improving the A* algorithm in this paper speeds up the computation time of the route. Comparison results show that the proposed algorithm has a faster average response time than other algorithms. The second is that handling unexpected congestion on the identified shortest route by two ways not to delay emergency response condition. The simulation experiments were executed by the proposed method. The result of this system helps to find the most likely routes to get to the emergency area quickly.
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寻找火灾紧急疏散路线的最佳方法
在自然灾害和人为灾害中,城市疏散路线规划具有重要意义。在缅甸等发展中国家,城市地区的火灾一直是最危险的问题之一。目前,火灾造成的损失越来越大,需要制定有效的计划,在各地及时响应和救援。本文提出了一种离线疏散路线规划方法,以在没有互联网的情况下提供尽可能快的救援方案。该算法通过在A*算法中加入父节点信息,计算出最近的消防站(如救援地点)到任何火灾事故地点之间的最短路径,以减少搜索时间。它分为两个部分,用于生成有效的疏散路线。首先是为消防车提供前往紧急地点的最短路线。本文对A*算法进行了改进,提高了路由的计算速度。对比结果表明,该算法比其他算法具有更快的平均响应时间。二是在不耽误应急响应的情况下,采用两种方式处理已确定的最短路由上的意外拥塞。采用该方法进行了仿真实验。该系统的结果有助于找到最可能到达紧急区域的路线。
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