Prediction of traffic sign vandalism that obstructs critical messages to drivers

A critical deficiency in any one or a combination of three transportation system characteristics: the driver, roadway, or vehicle can contribute to an elevated crash risk for the motoring public. Traffic signs often convey critical information to drivers. However, traffic signs are only effective when clearly visible and legible. Traffic sign vandalism that is exclusively the results of humans causes both sign legibility and visibility to deteriorate. Transportation agencies spend a significant amount of money to repair or replace vandalized signs. This study was conducted to identify which traffic signs are more vulnerable to vandalism. To do this, a mobile-based vehicle collected data of over 97000 traffic signs managed by the Utah Department of Transportation (UDoT), US. The vandalized signs were identified by a trained operator through inspection of daytime digital images taken of each individual sign. Location data obtained from online sources combined with the traffic sign data were imported into ArcGIS to acquire localized conditions for each individual sign. According to the chi-square test results, the association between vandalism and traffic sign attributes and localized conditions, including background color, size, mount height, exposure, land cover, and road type was evident. After employing the random forests model, the most important factors in making signs vulnerable to vandalism were identified.

• Record URL:
  • https://doi.org/10.3846/16484142.2016.1252946
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/16484142
• Supplemental Notes:
  • Copyright © 2018 Majid Khalilikhah and Kevin Heaslip. Published by VGTU Press.
• Authors:
  • Khalilikhah, Majid
  • Heaslip, Kevin
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: pp 399-407
• Serial:
  • Transport
  • Volume: 33
  • Issue Number: 2
  • Publisher: Vilnius Gediminas Technical University (VGTU) Press
  • ISSN: 1648-4142
  • EISSN: 1648-3480
  • Serial URL: https://journals.vgtu.lt/index.php/Transport
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Data collection; Geographic information systems; Laser radar; Traffic safety; Traffic signs; Vandalism
• Identifier Terms: Utah Department of Transportation
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01689952
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 27 2018 10:59AM