Distracted Agents in Crowd Simulations

Simple item page
dc.contributor.advisorFaloutsos, Petros
dc.contributor.authorKremer, Melissa Anne
dc.date.accessioned2021-03-08T17:17:44Z
dc.date.available2021-03-08T17:17:44Z
dc.date.copyright2020-10
dc.date.issued2021-03-08
dc.date.updated2021-03-08T17:17:44Z
dc.degree.disciplineComputer Science
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractCrowd simulations can provide meaningful insights about crowd movement and flow in arbitrary environments, which is useful for predictive planning and analysis. High fidelity agents and simulations are important factors in the quality of the analysis and their validity. Historically, agents in crowd simulations have been largely homogeneous in terms of physical and behavioural properties. However, this homogenous structure does not accurately reflect crowds seen in the real world, which are largely heterogeneous in a wide variety of aspects including behaviours. In particular, distracted behaviour in crowds has been largely ignored in crowd simulations to date. The use of cellular phones has become one of the most commonly observed distracted behaviour in real world urban crowds. This thesis presents a first step towards modelling this important phenomenon in crowd simulations.
dc.identifier.urihttp://hdl.handle.net/10315/38154
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectComputer science
dc.subject.keywordsCrowd simulation
dc.subject.keywordsBehavioural modelling
dc.subject.keywordsVisual attention modelling
dc.subject.keywordsVirtual agents
dc.titleDistracted Agents in Crowd Simulations
dc.typeElectronic Thesis or Dissertation

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Kremer_Melissa_A_2020_Masters.pdf
Size:
12.08 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
license.txt
Size:
1.87 KB
Format:
Plain Text
Description:
Download
No Thumbnail Available
Name:
YorkU_ETDlicense.txt
Size:
3.39 KB
Format:
Plain Text
Description:
Download

Collections

Computer Science and Engineering

All items in the YorkSpace institutional repository are protected by copyright, with all rights reserved except where explicitly noted.