Smartphone Based Traffic Sign Inventory and Assessment

Government agencies are tasked with maintaining good signage and part of it is regular inspections to detect problems. Current methods involve manual inspections, specialized vehicles, or citizen reports. They are tedious, expensive, or not always reliable. In this project the authors developed a traffic sign inventory and assessment system that built on a smartphone based road inspection system. The system was tested in Cranberry Township, Pittsburgh, with the help of their maintenance department. They collected the road data with the collection system. The authors analyzed the data to find all the stop signs and determine any problems with it. The result was compared with a stop-sign inventory established independently from the system.

  • Record URL:
  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Technologies for Safe and Efficient Transportation University Transportation Center

    Carnegie Mellon University
    Pittsburgh, PA  United States  15213

    Research and Innovative Technology Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Mertz, Christoph
    • Kozar, John
    • Wang, Jinhang
    • Doyle, Joseph
    • Kaffine, Christopher
    • Kelkar, Anuja
    • Poddatur, Nikitha
    • Chan, Lam
    • Amladi, Kedar
  • Publication Date: 2016

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Research Report
  • Features: Figures; Photos;
  • Pagination: 8p

Subject/Index Terms

Filing Info

  • Accession Number: 01603650
  • Record Type: Publication
  • Contract Numbers: DTRT12GUTG11
  • Files: UTC, TRIS, RITA, ATRI, USDOT
  • Created Date: May 27 2016 9:39AM