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Development of agent based model for predicting emergency response time

机译:基于Agent的应急响应时间预测模型的开发

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Summary Determining the time to reach any incident location by an emergency service is a very important aspect for emergency management. In most of the developing countries road network is considered as a main infrastructure for transporting emergency services. Therefore in order to predict the response time consideration must be given to the characteristics of road segments and driving behaviour of emergency vehicle drivers. In this paper real time driving data by Fire emergency service of Allahabad city is collected using GPS logger HOLUX M1000C. The spatial trajectories collected from GPS logger are analysed in GIS along with road network, population density and landuse data to determine the driver's route deciding behaviour. Based on the integrated analysis the Fire Emergency Vehicle Agent is designed. The Agent based model is simulated to determine the response time which is subsequently compared with the real response time.
机译:总结确定紧急服务到达任何事故地点的时间是紧急管理的一个非常重要的方面。在大多数发展中国家,公路网被认为是运输紧急服务的主要基础设施。因此,为了预测响应时间,必须考虑路段的特性和紧急车辆驾驶员的驾驶行为。本文利用GPS记录仪HOLUX M1000C收集了阿拉哈巴德市消防紧急服务的实时驾驶数据。从GPS记录器收集的空间轨迹与道路网络,人口密度和土地利用数据一起在GIS中进行分析,以确定驾驶员的路线决定行为。基于综合分析,设计了消防应急车辆代理。模拟基于Agent的模型以确定响应时间,随后将其与实际响应时间进行比较。

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