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A resource scheduling decision support model for mobile photo enforcement
University of Alberta.
University of Alberta.
University of Alberta.
2018 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

A mobile photo enforcement (MPE) program deploys enforcement resources (equipment and personnel) to roadway locations, using radar and license plate photos to “catch” speed-limit violators. Where and when to deploy MPE program resources is a very important part of MPE operations, which helps enforcement agencies emphasize their road safety improvement goals and helps increasing the efficiency of program resource use. However, the design of MPE programs has received little attention from researchers.

The allocation of MPE resources is a complex process. This complexity arises from the fact that the allocation of MPE resources is not stationary, but it requires moving those resources from one site to another. Therefore, when MPE program managers allocate operators and equipment to sites, they must simultaneously consider the location of the resource allocation, the time of the allocation, and the availability of resource. Due to this complexity, a tool that can assist MPE program managers in making an effective and efficient resource deployment plan becomes necessary.

Place, publisher, year, edition, pages
Linköping: Statens väg- och transportforskningsinstitut, 2018.
National Category
Computer Systems
Research subject
X RSXC
Identifiers
URN: urn:nbn:se:vti:diva-12930OAI: oai:DiVA.org:vti-12930DiVA, id: diva2:1204177
Conference
18th International Conference Road Safety on Five Continents (RS5C 2018), Jeju Island, South Korea, May 16-18, 2018
Available from: 2018-05-16 Created: 2018-05-07 Last updated: 2018-05-25Bibliographically approved

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Computer Systems

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf