Abstract

To take advantage of enormous evacuation data for the efficiency of emergency evacuation, we in this paper develop an improved framework for evacuation planning, which is composed of a modified network-based model and a corresponding optimization structure. Under the proposed framework, we describe pedestrians' features in a computationally efficient way according to their movement pattern and design a model where a typical optimization problem can be well integrated. At the optimization stage, we present a novel algorithm that is more suitable for the allocation of network nodes. For validation, the framework is applied based on the data from experiments and a specific scenario to simulate emergency evacuation. The preliminary numerical results show that a satisfactory evacuation plan can be developed within an acceptable calculation time. Combining with other supporting data, the framework can be further extended to investigate other evacuation strategies in large-scale and crowded pedestrian facilities.

摘要

为了利用大量疏散数据提高应急疏散效率，本文开发了一种改进的疏散规划框架，该框架由改进的基于网络的模型和相应的优化结构组成。在所提出的框架下，我们根据行人的运动模式以计算有效的方式描述行人的特征，并设计一个可以很好地集成典型优化问题的模型。在优化阶段，我们提出了一种更适合网络节点分配的新算法。为了验证，该框架基于实验数据和特定场景应用来模拟紧急疏散。初步数值结果表明，可以在可接受的计算时间内制定出令人满意的疏散计划。