Brownian Motion Applied to Human Intersections

dc.contributor.advisorSingh, Sukhjit
dc.contributor.authorTurner, Jonathan
dc.contributor.committeeMemberPassty, Gregory
dc.contributor.committeeMemberWhite, Alexander
dc.date.accessioned2012-07-16T20:45:21Z
dc.date.available2012-07-16T20:45:21Z
dc.date.issued2012-07
dc.description.abstract<p>In this paper, we will adapt Einstein's work on Brownian Motion to pedestrian movement and then use that information to prove three hypotheses:</p> <ol> <i><li>In general, pedestrian movement at an intersection is not a Brownian Motion.</li></i> <i><li>Pedestrian movement at intersections in high density cities is a Brownian Motion.</li></i> <i><li>Pedestrian movement at intersections on a university campus during normal business hours on normal business days is a Brownian Motion.</li></i> </ol> <p>We will attempt this by examining the concept of Brownian Motion as presented by three of its main founders, Brown, Weiner, and Einstein, as well as many applications, and then summarizing Einstein's work on developing a diffusivity coefficient. We will then adapt Einstein's Brownian Coefficient of Diffusivity from the molecular case to pedestrian movement. It is during this process that we will prove or disprove our three hypotheses. Finally, we will analyze video logs to determine if the theory holds, and if not, then why it failed.</p>
dc.description.departmentMathematics
dc.formatText
dc.format.extent95 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationTurner, J. (2012). <i>Brownian motion applied to human intersections</i> (Unpublished thesis). Texas State University-San Marcos, San Marcos, Texas.
dc.identifier.urihttps://hdl.handle.net/10877/4235
dc.language.isoen
dc.subjectBrownian
dc.subjectBrownian motion
dc.subjectPedestrian movement
dc.subjectEinstein
dc.subject.lcshBrownian motion processesen_US
dc.subject.lcshStochastic processesen_US
dc.subject.lcshPedestriansen_US
dc.titleBrownian Motion Applied to Human Intersections
dc.typeThesis
thesis.degree.departmentMathematics
thesis.degree.disciplineMathematics
thesis.degree.grantorTexas State University-San Marcos
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
TURNER-THESIS.pdf
Size:
1.46 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.12 KB
Format:
Plain Text
Description: