@article{ref1,
title="An improved optimization framework for evacuation planning in facilities considering pedestrian dynamics",
journal="Journal of transportation safety and security",
year="2022",
author="Tang, Tie-Qiao and Zhang, Bo-Tao and Wang, Tao",
volume="14",
number="4",
pages="693-722",
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.<p /> <p>Language: en</p>",
language="en",
issn="1943-9962",
doi="10.1080/19439962.2020.1827107",
url="http://dx.doi.org/10.1080/19439962.2020.1827107"
}