Integrated sign management system : ADOT maintenance group
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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.
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Integrated sign management system : ADOT maintenance group



English
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Details:

  • Creators:
  • Corporate Contributors:
    Arizona. Dept. of Transportation
  • Subject/TRT Terms:
  • Publication/ Report Number:
    FHWA-AZ-03-451
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    Arizona
  • TRIS Online Accession Number:
    969875
  • OCLC Number:
    54436108
  • Edition:
    Final report; Start April 2002 to End July 2003
  • Contracting Officer:
    SPR-PL-1-(45)5114P
  • Corporate Publisher:
    Arizona. Dept. of Transportation
  • NTL Classification:
    NTL-HIGHWAY/ROAD TRANSPORTATION-Construction and Maintenance
  • Abstract:
    The Arizona Department of Transportation (ADOT) maintains and manages an inventory of roadway signs. Before the implementation of this project, sign technicians maintained inventory records on individual laptops to track their daily sign maintenance activities. Each individual laptop contained sign file data that pertained only to the installed signs within the area in which the sign technician worked. It was difficult to share information and generate management reports. In addition, some sign regions did not even use their laptops to maintain the inventory records for their signs, but used paper forms to complete their daily work. To meet the challenge, ADOT has developed an application to: Track the installation, maintenance and replacement of all ADOT roadway signs; Provide for the maintenance of data pertaining to the attributes of all ADOT roadway signs statewide; and Satisfy the dynamic business requirements, especially in the area of predicting sign replacement by allowing the database design to easily incorporate other factors into the prediction formula.
  • Format:
    PDF
  • Collection(s):
  • Main Document Checksum:
  • Download URL:
  • File Type:
    Filetype[PDF-491.81 KB]

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