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Optimization model for regional evacuation transportation system using macroscopic productivity function

机译：基于宏观生产力函数的区域疏散运输系统优化模型

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The simulation of mass evacuation traffic processes, while enormously valuable in emergency planning and management, presents a number of challenges to transportation modelers and analysts. One area where evacuation modeling and analysis has lacked is in the ability to determine the specific evacuation travel demand and capacity and conditions under which a road network can most effectively carry the maximum outflow rate for an area under threat of catastrophic disasters. This is a difficult question to answer because evacuations are so complex and can include millions of people, traveling on tens of thousands of miles of roads, lasting several hours or even days in duration. Knowledge of how to reduce the likelihood of over-saturation would be useful, for example, to develop temporally and spatially phased evacuation plans that meter demand into the system for maximum overall benefit. In this paper an optimization model is proposed to maximize evacuation throughput traffic for regional networks. This model aims at optimizing network outflow and trip complete percentage at a macroscopic level by changing the distribution of evacuation traffic in the time horizon. The productivity function, pioneered by Geroliminis and Daganzo (2007, 2008) is used to assess network performance from a macroscopic point of view. Then, an optimization model with the objective of maximizing both total network productivity and outflow rate is proposed. Further, a simulation based study of the New Orleans metropolitan area is used to validate the effectiveness of the optimization model. (C) 2015 Elsevier Ltd. All rights reserved.
机译：大规模疏散交通流程的模拟虽然在应急计划和管理中具有巨大价值，但对运输建模人员和分析人员提出了许多挑战。疏散建模和分析缺乏的一个领域是确定特定疏散旅行需求，能力和条件的能力，在这种能力下道路网络可以最有效地承载遭受灾难性灾难威胁的区域的最大流出量。这是一个很难回答的问题，因为疏散非常复杂，可能包括数百万人，沿数万英里的道路行驶，持续时间长达数小时甚至数天。了解如何减少过饱和的可能性将很有用，例如，开发时间和空间上分阶段的疏散计划，以便将需求计量到系统中以实现最大的总体收益。本文提出了一种优化模型，以使区域网络的疏散吞吐量最大化。该模型旨在通过更改时间范围内疏散交通的分布，在宏观层面上优化网络流出和完成跳闸的百分比。 Geroliminis和Daganzo（2007，2008）率先提出的生产率函数用于从宏观角度评估网络性能。然后，提出了一个优化模型，其目标是使总网络生产率和流出率均最大化。此外，使用基于仿真的新奥尔良都会区研究来验证优化模型的有效性。 （C）2015 Elsevier Ltd.保留所有权利。

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