| dc.contributor.author | Bridgelall, Raj | |
| dc.contributor.author | Rahman, Md Tahmidur | |
| dc.contributor.author | Tolliver, Denver D. | |
| dc.contributor.author | Daleiden, Jerome F. | |
| dc.description.abstract | The international roughness index 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
characterize roughness can do so by accounting for all vibration wavelengths that the
actual vehicles experience. This study characterizes and compares the precision of
each method. The field studies indicate that within 7 traversals, the connected vehicle
approach could achieve the same level of precision as the procedure used to produce
the international roughness index. For a given vehicle and segment lengths longer
than 50 meters, 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 best practices in utilizing the
connected vehicle method. | en_US |
| dc.rights | In copyright. Permission to make this version available has been granted by the author and publisher. | |
| dc.title | Error Sensitivity of the Connected Vehicle Approach to Pavement Performance Evaluations | en_US |
| dc.type | Article | en_US |
| dc.type | Preprint | en_US |
| dc.description | Raj Bridgelall is the program director for the Upper Great Plains Transportation Institute (UGPTI) Center for Surface Mobility Applications & Real-time Simulation environments (SMARTSeSM). | en_US |
| dc.date.accessioned | 2017-11-30T22:40:34Z | |
| dc.date.available | 2017-11-30T22:40:34Z | |
| dc.date.issued | 2016 | |
| dc.identifier.uri | https://hdl.handle.net/10365/26902 | |
| dc.subject.lcsh | Transportation. | en_US |
| dc.subject.lcsh | Global Positioning System. | en_US |
| dc.subject.lcsh | Pavements. | en_US |
| dc.identifier.orcid | 0000-0003-3743-6652 | |
| dc.description.sponsorship | University Transportation Centre | en_US |
| dc.description.sponsorship | U.S. Department of Transportation (USDOT) | en_US |
| dc.description.sponsorship | Mountain Plains Consortium (MPC) | en_US |
| dc.description.sponsorship | Grant DTRT12-G-UTC08 | en_US |
| dc.description.uri | https://www.ugpti.org/about/staff/viewbio.php?id=79 | |
| dc.language.iso | en_US | en_US |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.contributor.organization | Upper Great Plains Transportation Institute | |
| ndsu.college | College of Business | |
| ndsu.department | Transportation and Logistics | |
