eprintid: 4763
rev_number: 7
eprint_status: archive
userid: 1
dir: disk0/00/00/47/63
datestamp: 2024-09-10 13:15:37
lastmod: 2024-09-10 13:16:39
status_changed: 2024-09-10 13:16:39
type: thesis
metadata_visibility: show
sword_depositor: 1
creators_name: Niemi, Elmeri
creators_id: S3783723
creators_email: me@elmeriniemi.com
title: Privacy-aware agent-based simulation for modeling indoor movement patterns in university campuses
ispublished: unpub
full_text_status: public
abstract: This master thesis explores the development of a privacy-conscious methodology for modeling indoor movement
patterns in campus environments using Agent-Based Simulation (ABS). The primary research question addresses
how movement can be accurately modeled while ensuring the privacy of individuals. The study utilizes WiFi-based
occupancy data and an adapted PageRank algorithm to predict movement behaviors within university buildings
without individual tracking. The ABS model incorporates various factors, including agent ontologies, room attractiveness, and spatial relationships, to simulate realistic indoor movement patterns. The model is validated using
real-world data from the University of Groningen, demonstrating strong correlation between simulated and observed
building occupancy. The findings highlight the effectiveness of the methodology in replicating movement patterns
across different areas of the building, though some areas required further refinement. The use of aggregate data
ensures privacy preservation, successfully balancing the need for data-driven insights with ethical data practices.
This research contributes a novel approach to the field of indoor spatial analysis, with practical applications for
space management, energy efficiency, and campus planning. The flexible framework developed can be adapted to
various indoor environments, offering significant potential for future research and implementation.
date: 2024
pages: 30
thesis_type: master
degree_programme: RS
tutors_name: Weitkamp, S.G.
tutors_organization: Fac. Ruimtelijke wetenschappen, Basiseenheid Culturele Geografie
tutors_email: S.G.Weitkamp@rug.nl
security: public
keywords_local: agent based simulation
keywords_local: movement
keywords_local: movement patterns
keywords_local: mapping
keywords_local: indoor movement
keywords_local: mobility
keywords_local: simulation
keywords_local: smart buildings
keywords_local: wifi
language_iso: en
date_issued: 2024-09-09
citation:   Niemi, Elmeri  (2024) Privacy-aware agent-based simulation for modeling indoor movement patterns in university campuses.  Master thesis.   
document_url: https://frw.studenttheses.ub.rug.nl/4763/1/niemis3783723mscthesisfinal.pdf