Error sensitivity of the connected vehicle approach to pavement performance evaluations

The international roughness index (IRI) is the prevalent indicator used to assess and forecast road maintenance needs. The fixed parameters of its simulation model provide the advantage of requiring relatively few traversals to produce a consistent index. However, the static parameters also cause the model to under-represent roughness that riders experience from profile wavelengths outside of the model’s response range. A connected vehicle method that uses a similar but different index to characterise roughness can do so by accounting for all vibration wavelengths that the actual vehicles experience. This study characterises and compares the precision of each method. The field studies indicate that within seven traversals, the connected vehicle approach could achieve the same level of precision as the procedure used to produce the IRI. For a given vehicle and segment lengths longer than 50 m, the margin-of-error diminished below 1.5% after 50 traversals, and continued to improve further as the traversal volume grew. Practitioners developing new tools to evaluate pavement performance will benefit from this study by understanding the precision trade-off to recommend the best practices in utilising the connected vehicle method.

• Record URL:
  https://doi.org/10.1080/10298436.2016.1162307
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/44544515
• Supplemental Notes:
  • Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Bridgelall, Raj
  • Rahman, Md Tahmidur
  • Daleiden, Jerome F
  • Tolliver, Denver
• Publication Date: 2018-1

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 82-87
• Serial:
  • International Journal of Pavement Engineering
  • Volume: 19
  • Issue Number: 1
  • Publisher: Taylor & Francis
  • ISSN: 1029-8436
  • Serial URL: http://www.tandf.co.uk/journals/titles/10298436.html

Subject/Index Terms

• TRT Terms: Connected vehicles; Field studies; Global Positioning System; Pavement performance; Precision; Probe vehicles; Ride quality; Roughness; Smartphones
• Identifier Terms: International Roughness Index
• Subject Areas: Highways; Pavements;

Filing Info

• Accession Number: 01653354
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 11 2017 8:07PM