Mohammad ShirvaniThe University of Sheffield | Sheffield · Department of Civil and Structural Engineering
Mohammad Shirvani
PhD Student
About
6
Publications
872
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39
Citations
Citations since 2017
Introduction
I'm currently working on the development of a framework for studying human-flood complex systems which is able to simulate both-way interactions of people and flood water within a synoptic perspective.
This technology has been built upon Flexible Large-scale Agent-based Modelling Environment for GPU (FLAME-GPU) which is designed to create agent-based models aiming parallel computations.
This framework is beneficial for many studies including particularly flood-risk management, resilience of communities, evacuation planning, emergency responses, and flood mitigation measures.
Skills and Expertise
Publications
Publications (6)
This paper presents a new simulator for dynamic modelling of interactions between flooding and people in crowded areas. The simulator is developed in FLAMEGPU (a Flexible Large scale Agent-based Modelling Environment for the GPU), which allows to model multiple agent interactions while benefitting from the speed-up of GPUs. Flooding variables inclu...
An agent-based model (ABM) for simulating flood-pedestrian interaction is augmented to particularly explore more realistic responses of evacuating pedestrians during flooding. Pedestrian agents within the ABM follow navigation rules of governing their movement in dry areas. When in floodwater, pedestrian agents are assigned extra behavioural rules...
The flood–pedestrian simulator uses a parallel approach to couple a hydrodynamic model to a pedestrian model in a single agent-based modelling (ABM) framework on graphics processing units (GPU), allowing dynamic exchange and processing of multiple-agent information across the two models. The simulator is enhanced with more realistic human body char...
The flood-pedestrian simulator uses a parallel approach to couple a hydrodynamic model to a pedestrian model in a single agent-based modelling (ABM) framework using the Graphical Processing Units (GPU). It allows to dynamically exchange and process multiple agent information between the two models. The simulator is augmented with more realistic hum...
This article presents a simulator for the modelling of the two‐way interactions between flooding and people. The simulator links a hydrodynamic model to a pedestrian model in a single agent‐based modelling platform, Flexible Large‐scale Agent Modelling Environment for the Graphical Processing Unit (FLAMEGPU). Dynamic coupling is achieved by the sim...
An agent-based model (ABM) for simulating the interactions between flooding and pedestrians is augmented to more realistically model responses of evacuees during floodwater flow. In this version of the ABM, the crowd of pedestrians has different body height and weight, and extra behavioural rules are added to incorporate pedestrians’ states of stab...
