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Using a hazard-independent approach to understand road-network robustness to multiple disruption scenarios

机译：利用危险独立方法了解对多个中断场景的道路网络鲁棒性

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摘要

A range of predictable and unpredictable events can cause road perturbations, disrupting traffic flows and more generally the functioning of society. To manage this threat, stakeholders need to understand the potential impact of a multitude of predictable and unpredictable events. The present paper adopts a hazard-independent approach to assess the robustness (ability to maintain functionality despite disturbances) of the Sioux Falls network to all possible disruptions. This approach allows understanding the impact of a wide range of disruptive events, including random, localised, and targeted link failures. The paper also investigates the predictability of the link combinations whose failure would lead to the highest impacts on the network performance, as well as, the correlation between the link-criticality rankings derived when only single-link failures are considered as opposed to when multiple-link failures are considered. Finally, the sensitivity of the robustness-assessment results to the intensity and distribution of the travel demand is evaluated.
机译：一系列可预测和不可预测的事件可能导致道路扰动，扰乱交通流量，更普遍地是社会的运作。为了管理这种威胁，利益相关者需要了解多种可预测和不可预测的事件的潜在影响。本文采用危险独立的方法来评估SIOUX下降网络的鲁棒性（尽管扰乱的功能，维护功能的能力）到所有可能的中断。这种方法允许了解广泛的中断事件的影响，包括随机，本地化和有针对性的链接故障。本文还调查了链接组合的可预测性，其失败将导致对网络性能的最高影响，以及当仅考虑单链路故障时导出的链路关键排名之间的相关性，当时链接故障被考虑。最后，评估了鲁棒性评估的灵敏度导致旅行需求的强度和分布。

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