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Related papers: What will they do? Modelling self-evacuation arche…

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Bushfires pose a significant threat to Australia's regional areas. To minimise risk and increase resilience, communities need robust evacuation strategies that account for people's likely behaviour both before and during a bushfire.…

Multiagent Systems · Computer Science 2019-09-04 Joel Robertson

Evacuation in response to natural disasters is a complex process involving multiple decision-makers at the personal, household, community, and government levels. Consequently, many disparate factors influence who evacuates, when, and how to…

Computers and Society · Computer Science 2025-05-15 Paige Maas , Zack Almquist , Eugenia Giraudy , JW Schneider

Traditional data sources on bushfire evacuation behaviour, such as quantitative surveys and manual observations have severe limitations. Mining social media data related to bushfire evacuations promises to close this gap by allowing the…

Social and Information Networks · Computer Science 2025-12-02 Junfeng Wu , Xiangmin Zhou , Erica Kuligowski , Dhirendra Singh , Enrico Ronchi , Max Kinateder

Computer based models describing pedestrian behavior in an emergency evacuation play a vital role in the development of active strategies that minimize the evacuation time when a closed area must be evacuated. The reference model has a…

Other Computer Science · Computer Science 2014-01-22 Pablo Cristian Tissera , Alicia Castro , A. Marcela Printista , Emilio Luque

In recent years crowd modeling has become increasingly important both in the computer games industry and in emergency simulation. This paper discusses some aspects of what has been accomplished in this field, from social sciences to the…

Multiagent Systems · Computer Science 2013-03-20 João E. Almeida , Rosaldo J. F. Rosseti , António Leça Coelho

Forecasting bushfire spread is an important element in fire prevention and response efforts. Empirical observations of bushfire spread can be used to estimate fire response under certain conditions. These observations form rate-of-spread…

Machine Learning · Computer Science 2022-03-24 Andrew Bolt , Joel Janek Dabrowski , Carolyn Huston , Petra Kuhnert

Wildfires are natural disasters capable of damaging economies and communities. When wildfires become uncontrollable, Incident Manager Teams (IMT's) dispatch response vehicles to key assets to undertake protective tasks and so mitigate the…

Optimization and Control · Mathematics 2018-11-09 Iman Roozbeh , John Hearne , Babak Abbasi , Melih Ozlen

This paper considers the problem of developing suitable behavior models of human evacuees during a robot-guided emergency evacuation. We describe our recent research developing behavior models of evacuees and potential future uses of these…

Robotics · Computer Science 2023-09-27 Mollik Nayyar , Alan Wagner

Over the past couple of decades, the number of wildfires and area of land burned around the world has been steadily increasing, partly due to climatic changes and global warming. Therefore, there is a high probability that more people will…

Social scientists have criticised computer models of pedestrian streams for their treatment of psychological crowds as mere aggregations of individuals. Indeed most models for evacuation dynamics use analogies from physics where pedestrians…

Physics and Society · Physics 2016-07-13 I. von Sivers , A. Templeton , F. Künzner , G. Köster , J. Drury , A. Philippides , T. Neckel , H. -J. Bungartz

Bushfire is one of the major natural disasters that cause huge losses to livelihoods and the environment. Understanding and analyzing the severity of bushfires is crucial for effective management and mitigation strategies, helping to…

Computers and Society · Computer Science 2024-10-07 Shouthiri Partheepan , Farzad Sanati , Jahan Hassan

Bushfires are among the most destructive natural hazards in Australia, causing significant ecological, economic, and social damage. Accurate prediction of bushfire intensity is therefore essential for effective disaster preparedness and…

Machine Learning · Computer Science 2026-01-13 Tanvi Jois , Hussain Ahmad , Fatima Noor , Faheem Ullah

People often help others who are in trouble, especially in emergency evacuation situations. For instance, during the 2005 London bombings, it was reported that evacuees helped injured persons to escape the place of danger. In terms of game…

Physics and Society · Physics 2020-06-26 Jaeyoung Kwak , Michael H Lees , Wentong Cai , Marcus EH Ong

Understanding evacuation decision-making behaviour is one of the key components for designing disaster mitigation policies. This study investigates how communications between household agents in a community influence self-evacuation…

Multiagent Systems · Computer Science 2026-02-24 Made Krisnanda , Raymond Chiong , Yang Yang , Kirill Glavatskiy

Social media has been a powerful tool and an integral part of communication, especially during natural disasters. Social media platforms help nonprofits in effective disaster management by disseminating crucial information to various…

Social and Information Networks · Computer Science 2022-10-21 Vivek Velivela , Chahat Raj , Muhammad Salman Tiwana , Raj Prasanna , Mahendra Samarawickrama , Mukesh Prasad

The understanding and prediction of large wildland fire events around the world is a growing interdisciplinary research area advanced rapidly by development and use of computational models. Recent models bidirectionally couple computational…

Atmospheric and Oceanic Physics · Physics 2020-07-06 J. L. Coen , W. Schroeder , S. Conway , L. Tarnay

Collective behavior of people in large groups and emergent crowd dynamics can have dangerous and disastrous results when panic is introduced. These events can be caused by emergency situations such as fires in a large building or a…

Computation · Statistics 2022-12-19 Janey Alex , Jason Stillerman , Noah Fritzhand , Tucker Paron

This paper describes our recent effort to use virtual reality to simulate threatening emergency evacuation scenarios in which a robot guides a person to an exit. Our prior work has demonstrated that people will follow a robot's guidance,…

In the event of a disaster, saving human lives is of utmost importance. For developing proper evacuation procedures and guidance systems, behavioural data on how people respond during panic and stress is crucial. In the absence of real…

Multiagent Systems · Computer Science 2019-10-03 Rohit K. Dubey , Samuel S. Sohn , Christoph Hoelscher , Mubbasir Kapadia

Identifying and quantifying factors influencing human decision making remains an outstanding challenge, impacting the performance and predictability of social and technological systems. In many cases, system failures are traced to human…

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