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Software . 2021
License: https://www.gnu.org/licenses/agpl.txt
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ZENODO
Software . 2021
License: https://www.gnu.org/licenses/agpl.txt
Data sources: Datacite
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ZENODO
Software . 2021
License: http://www.gnu.org/licenses/agpl.txt
Data sources: ZENODO
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Flood-pedestrian simulator

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 26 Feb 2021Publisher:ZenodoFunded by:UKRI | Smart forecasting: joined...
Authors: Shirvani, Mohammad; Kesserwani, Georges;

doi: 10.5281/zenodo.4564287 , 10.5281/zenodo.4564288

Flood-pedestrian simulator

Abstract

The flood-pedestrian simulator is developed within the Flexible Agent-based Modelling Environment for the GPU FLAMEGPU framework for modelling multiple agent interactions on CUDA Cores for parallel processing on Graphical Processing Units (GPUs). The simulator dynamically couples in parallel a hydrodynamic model to a pedestrian model and able to capture two-way interactions across pedestrian agents, representing evacuees, and flood agents representing local floodwater (Shirvani et al., 2020; Shirvani et al., 2021; Shirvani & Kesserwani, 2021). Download the FLOOD-PEDESTRAN SIMULATOR USER GUIDE for more information and step-by-step guidance on how to run the simulator on your own machine. To get insight into what the simulator does, watch demo videos from the simulations of two test cases reported in Shirvani & Kesserwani (2021). Visit this webpage to know more about the flood-pedestrian simulator.

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Keywords

Agent-based modelling, human responses, evacuation simulation, flooding, dynamic coupling, hydrodynamic modelling, flood simulation, emergency responses, flood-people interactions

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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