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Crime Respective Route Generation in Dense Urban Areas

datacite.rightsrestricted
dc.contributor.advisorKernighan, Brian
dc.contributor.authorChang, Anabelle
dc.date.accessioned2021-08-17T18:02:36Z
dc.date.accessioned2026-09-29T21:53:38Z
dc.date.available2021-08-17T18:02:36Z
dc.date.available2026-09-29T21:53:38Z
dc.date.created2021-04
dc.date.issued2021-08-17
dc.description.abstractIndividuals who walk as their primary source of transportation may experience concerns about their safety, especially as sexual harassment and assault continue to occur and menace society. In light of raising concern about this issue, there have been a host of solutions that attempt to enhance urban safety and security; however many of them are lacking in functionality and features to sufficiently do so. This thesis seeks to help individuals feel safer in major metropolitan cities by creating an application that provides users with navigation routes along which there are minimal amounts of crime.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01q237hw06f
dc.identifier.urihttps://theses-dissertations.princeton.edu/handle/88435/dsp01q237hw06f
dc.language.isoenen_US
dc.titleCrime Respective Route Generation in Dense Urban Areasen_US
dc.typePrinceton University Senior Theses
dspace.entity.typePublication
pu.contributor.authorid920191949
pu.date.classyear2021en_US
pu.departmentComputer Scienceen_US
pu.mudd.walkinNoen_US
pu.pdf.coverpageSeniorThesisCoverPage

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