An optimal guidance strategy for fire evacuations: A hybrid modeling approach

Wang, Ke; Yuan, Weifeng; Liang, Weiqi; Yao, Yao

doi:10.1016/j.jobe.2023.106796

Cited by 4 publications

(2 citation statements)

References 36 publications

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“…This problem is solved by solving the system of differential equations described in Equation (18). The transversal equation determined by Mayer's term determines the values of the co-variates at the control terminals.…”

Section: Methods For Passenger Flow Controlmentioning

confidence: 99%

“…For example, Abdelghany et al, 2016 [16], proposed a dynamic network loading model and a cellular automata model for the top and bottom layers, respectively, for pedestrian flow simulation with different resolutions, and their simulation results matched the measured passage bottlenecks and high-density areas of the Mecca pilgrimage site. Zhang and Jia, 2021 [17], and Wang et al, 2023 [18], proposed a hybrid model combining CTM and CA to simulate the pedestrian flow evacuation scenarios for large places with multiple exits and fire situations, respectively. The top layer of these hybrid models typically uses a network or grid structure to model the site as a whole, which can then be simulated using a simplified macro model.…”

Section: Introductionmentioning

confidence: 99%

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A Dynamic Network Loading Model for Hub Station Pedestrian Flow Collection and Distribution

Zheng,

Mou

2023

Mathematics

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A macro network loading model for multi-flow lines, time varying, and pedestrian congestion is proposed. The station hub is abstracted as a network of different types of nodes, and the flow of passengers at each node is calculated in real time for the purpose of simulating the hub’s collection and distribution process. For correct transmission of passenger flow on heterogeneous networks, three types of indexes are proposed to distinguish the nodes, and the corresponding fundamental diagrams are then matched. This paper divides the update process of the dynamic network loading model into multiple processes by flow lines, and improves the computational speed of the DNL model. The proposed model is applied to the simulation of passenger flow collection and distribution in an actual hub station with multi-flow lines. The analysis results illustrate that the model can accurately reflect the realistic congestion facilities and explain the formation process of high-density areas. A rolling passenger flow control model based on optimal control theory is proposed. The effectiveness of the control model is verified based on simulation data.

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Section: Methods For Passenger Flow Controlmentioning

confidence: 99%