Refueling Delay Models in Heterogenous Road Networks for Wireless Communications Base Station Gensets Operating in Extreme Conditions

V. Krishnamurthy, A. Kwasinski
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Abstract

This paper presents models for calculating travel delays in heterogeneous road networks in extreme conditions. The models are developed to facilitate the calculation of fuel delivery and restoration delays in wireless communications base stations and other system nodes requiring electric power. The travel delay is calculated by representing road networks as spatial graphs whose attributes are modified by an extreme event. Travel delays are random and are characterized by a triangular distribution whose parameters, namely minimum, mode and maximum, are calculated using the developed models. Each road segment or edge's travel time is a function of its length and the type of road. The type of road is characterized by its speed limit. The travel delays to each cell site is calculated assuming that the crew and fuel trucks originate on the boundary of the analyzed region. A nuclear attack is used as an example of extreme event to exemplify the models. Results indicate that type of road, path choice and subsequent congestion post extreme event can have significant impacts on the spatial distribution of delays.
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极端条件下无线通信基站机组异构道路网络加油延迟模型
本文提出了在极端条件下异构道路网络中出行延迟的计算模型。开发这些模型是为了方便计算无线通信基站和其他需要电力的系统节点的燃料输送和恢复延迟。通过将路网表示为空间图来计算出行延迟,这些空间图的属性被极端事件所改变。旅行延误是随机的,其特征是三角形分布,其参数即最小值、模态和最大值使用所开发的模型计算。每个路段或边缘的行驶时间是其长度和道路类型的函数。这种道路的特点是有速度限制。假设机组人员和油罐车从分析区域的边界出发,计算每个单元站点的旅行延迟。以核攻击为极端事件的例子来说明模型。结果表明,道路类型、路径选择和极端事件后的后续拥堵对交通延误的空间分布有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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