Date of Award

Spring 2024

Access Type

Thesis - Open Access

Degree Name

Master of Systems Engineering

Department

Electrical Engineering and Computer Science

Committee Chair

Radu Babiceanu

Committee Co-Chair

Bryan Watson

First Committee Member

Radu Babiceanu

Second Committee Member

Bryan Watson

Third Committee Member

Ilteris Demirkiran

College Dean

James Gregory

Abstract

College campuses are a significant part of life in some cities. Many students each year attend university, pursuing additional knowledge from faculty members. Both staff and faculty members rely on these students to have successful jobs and to ensure the university functions. Yet recently, more and more students are attending, leading to overcrowding, lower admission rates, and difficulty getting into good programs. Previous work exists on qualitative student affairs and quantitative retention data, yet little on using simulations to model this problem. This work aimed to (a) Determine the ability to successfully model human interactions/people flow on a college campus, (b) Identify optimization strategies through simulation, and (c) Verify the applicability/practicality of the identified solutions. The simulation consists of two different focus levels. The first is a high-level Skeleton Model, which shows a birds-eye view of the campus and the movement of people/vehicles in a day. Second is a Deep Dive Model of the campus, which identifies more moving parts and student/worker interactions. Once the models were generated, they were analyzed, optimized, and shown to university stakeholders for feedback on the results. As an outcome, a more optimized campus model was obtained for ERAU-DB.

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