Across many fields, scenario modeling has become an important tool for exploring long-term
projections and how they might depend on potential interventions and critical uncertainties …

Government agencies must make rapid and informed decisions in wildfires to evacuate
people safely. However, current evacuation simulation tools for resource-strapped agencies …

In this work, an agent-based model (ABM) of population evacuation during Hurricane
Harvey is developed. The ABM integrates data from several sources, including data about …

In order to mitigate the damage caused by accidents in nuclear power plants (NPPs),
evacuation strategies are usually managed on the basis of off-site effects such as the …

Although sources of social media data abound, companies are often reluctant to share data,
even anonymized or aggregated, for fear of violating user privacy. This paper introduces an …

The next exciting step for large-scaled, data-driven, agent-based simulations is to make
them live. In this article we describe what is meant by a live simulation, how this concept …

Computational epidemiologists frequently employ large-scale agent-based simulations of
human populations to study disease outbreaks and assess intervention strategies. The …

The frequent occurrence of urban waterlogging constantly affects resident living and urban
construction. Improved adaptive prevention and control strategies are highly requested due …

In recent years, disaster events spreading across national borders have increased, which
requires improved collaboration between countries. By means of an agent-based simulation …

During normal operations, buildings can protect their occupants from outdoor hazards,
including airborne pollutants. Purposeful sheltering increases this protection. A longterm …