Mathematical Modeling of Transient Human
Crowd Interactions
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Team Members: Abi Zadnik, Kristen Dragon, Alex Strickland,
Jake Mason, Nick Orange
Advisor: Dr. Nicole Abaid
The goal of this project is to create an agent-based model of
human interactions using swarm theory and density mapping in
order to optimize traffic flow within the Surge Space Building at
Virginia Tech. We expect that this model will have the potential
to be applied to any building or congested area to create a safer
environment for all those around.
Key Features:
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Agent-based Modeling: a system is modeled as a
collection of independent decision-making units (agents),
which are given a set of rules to execute different
behaviors and movements within the system.
Metrics of human interactions are recorded by a system
of GoPro cameras placed around Surge.
Deliverables:
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A dynamic agent-based model of Surge crowd
interactions.
A validation of our model based on video data.
An optimized model to create a more efficient and safer
atmosphere for pedestrian interactions in Surge.