A Framework for Integrating and Conflating TIGER Data into an All Public Roads Network for the State of Florida

In 2012, the Federal Highway Administration expanded the Highway Performance Monitoring System’s (HPMS) reporting requirements for State Departments of Transportation to submit a Linear Reference System (LRS) that includes all public roads. This is otherwise known as the ARNOLD requirement or All Roads Network of Linear Referenced Data. A comprehensive and specific framework to integrate and maintain all local roads with the current LRS is needed in order to meet the federal requirements. However, similar to most states, the Florida Department of Transportation (FDOT) does not currently collect information on its local roads. Florida currently maintains an LRS of approximately 47,000 roadway miles comprising roads that are of interest to the FDOT. To include all the public roadways in Florida would increase the mileage by nearly 100,000 miles, which poses an immense challenge for the state of Florida and other states who do not already maintain a public roads network. In this paper, a geospatial methodology and framework is proposed to create and maintain an all roads network using the Census’ TIGER road network. This includes methods to implement and maintain topology, integrate local roads with existing state maintained roads (conflation), methods to assign required attributes to local roads, and a yearly maintenance plan. This geospatial framework can easily be applied to other states as the foundation for meeting the baseline ARNOLD requirements.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ABJ60 Standing Committee on Geographic Information Science and Applications.
  • Corporate Authors:

    Transportation Research Board

  • Authors:
    • Wood, Brittany S
    • O'Rourke, Paul
    • Welsh, Mark
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Photos; References; Tables;
  • Pagination: 16p

Subject/Index Terms

Filing Info

  • Accession Number: 01697350
  • Record Type: Publication
  • Report/Paper Numbers: 19-05005
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:24AM