Real-time Stochastic Evacuation Models for Decision Support in Actual Emergencies-Reference-Cited by-同舟云学术

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Real-time Stochastic Evacuation Models for Decision Support in Actual Emergencies

Published:2014 Issue: Volume:11 Page:1063-1076
ISSN:1817-4299
Container-title:Fire Safety Science
language:en
Short-container-title:Fire Saf. Sci.

Author:

Cuesta A.,Alvear D.,Abreu O.,Silió D.

Publisher

International Association for Fire Safety Science

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A hybrid inverse optimization-stochastic programming framework for network protection;Journal of the Operational Research Society;2023-08-31

2. Roxborough Park Community Wildfire Evacuation Drill: Data Collection and Model Benchmarking;Fire Technology;2023-02-08

3. Help Me Evacuate! A Smart Adaptable Evacuation System With Congestion Prediction Capabilities;IEEE Access;2023

4. Probabilistic Forecasting Model for the COVID-19 Pandemic Based on the Composite Monte Carlo Model Integrated with Deep Learning and Fuzzy System;Epidemic Analytics for Decision Supports in COVID19 Crisis;2022

5. Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction;Applied Soft Computing;2020-08

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