Mathematical Modeling of Transient Human Crowd Interactions

1. Mathematical Modeling of Transient Human Crowd Interactions 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: • 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: • 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. seconds