| 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 | Researchers previously demonstrated that a roughness index called the road impact
factor (RIF) is directly proportional to the international roughness index (IRI) when
measured under identical conditions. A RIF-transform converts inertial signals from
connected vehicle accelerometers and speed sensors to produce RIF-indices in realtime.
This research examines the relative sensitivities of the RIF and the IRI to
variations in dominant profile wavelengths. The findings are that both indices
characterize roughness from spatial wavelengths up to 2 meters with equal
sensitivity. However, the RIF transform maintains its sensitivity when characterizing
roughness from wavelengths beyond that. The case studies used a certified inertial
profiler to collect both RIF and IRI data simultaneously from five different pavement
surface types. The RIF/IRI proportionality factors distributed normally among the
profiles tested. This result affirms that the RIF and IRI generally agrees. However,
differences in the dominant profile wavelength among pavements will produce some
spread in the degree of roughness that the indices express. | en_US |
| dc.rights | In copyright. Permission to make this version available has been granted by the author and publisher. | |
| dc.title | Wavelength Sensitivity of a Connected Vehicle Method of Ride Quality Characterizations | 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 | 2017-11-27T18:59:56Z | |
| dc.date.available | 2017-11-27T18:59:56Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | https://hdl.handle.net/10365/26876 | |
| dc.subject.lcsh | Transportation. | en_US |
| dc.subject.lcsh | Intelligent transportation systems. | en_US |
| dc.identifier.orcid | 0000-0003-3743-6652 | |
| dc.description.sponsorship | Mountain Plains Consortium (MPC) | 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 | |
| ndsu.doi | 10.1080/10298436.2017.1316645 | |
