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首页> 外文期刊>IEEE Transactions on Engineering Management >Discrete-Event-Based Simulation Model for Performance Evaluation of Post-Earthquake Restoration in a Smart City
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Discrete-Event-Based Simulation Model for Performance Evaluation of Post-Earthquake Restoration in a Smart City

机译：基于离散的事件仿真模型，用于智能城市后地震恢复的绩效评估

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摘要

Emergency responders are typically notified immediately after a major earthquake strikes. However, a time delay, called the travel time, is usually experienced between the notification and the arrival of the responders on the scene. The reparative work necessary after the responders arrive takes an additional amount of time, called the response time, depending on the nature of the damage and the volume of resources available. In a smart city, the restoration time, which is the sum of the travel and response times, should be minimized. A new discrete-event-based simulation (DEBS) model is presented in this paper to estimate the restoration time needed to bring the situation under control after notifying the response center. The DEBS model not only relaxes restrictive assumptions on travel time made by the Markov chain models from the existing literature, but it can also quantify the impact of resource volumes on restoration times. Additionally, the DEBS model is very useful for training purposes. The DEBS model was employed on a case study from the state of Missouri (U.S.). The experiments demonstrate that numerical results with the model take a short amount of computational time and that it can be implemented on a real-time basis in a smart-city infrastructure.
机译：在大地震罢工后通常会立即通知紧急响应者。然而，通常在场景上的通知和响应者到达之间经历了一个调用旅行时间的时间延迟。当响应者到达后所需的确认工作需要额外的时间，称为响应时间，具体取决于损坏的性质和可用的资源量。在智能城市中，应最大限度地减少恢复时间，即旅行和响应时间的总和。本文提出了一种新的离散事件的仿真（DEBS）模型，以估计在通知响应中心后控制在控制下的恢复时间所需的恢复时间。 DEBS模型不仅放宽了来自现有文献的马尔可夫链模型的旅行时间的限制性假设，而且还可以量化资源体积对恢复时间的影响。此外，DEBS模型对于培训目的非常有用。在密苏里州（美国）的案例研究中使用了DEBS模型。实验表明，模型的数值结果采用了短的计算时间，并且可以在智能城市基础设施中实时实现。

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