| dc.contributor.author | Bridgelall, Raj | |
| dc.contributor.author | Hough, Jill | |
| dc.contributor.author | Tolliver, Denver D. | |
| dc.description.abstract | Methods of pavement roughness characterizations using connected vehicles are poised to scale beyond the frequency, span, and affordability of existing methods that require specially instrumented vehicles and skilled technicians. However, speed variability and differences in suspension behavior require segmentation of the connected vehicle data to achieve some level of desired precision and accuracy with relatively few measurements. This study evaluates the reliability of a Road Impact Factor (RIF) transform under stop-and-go conditions. A RIF-transform converts inertial signals from on-board accelerometers and speed sensors to roughness indices (RIF-indices), in real-time. The case studies collected data from 18 different buses
during their normal operation in a small urban city. Within 30 measurements, the RIF-indices distributed normally with an average margin-of-error below 6%. This result indicates that a large number of measurements will provide a reliable estimate
of the average roughness experienced. Statistical t-tests distinguished the relatively small differences in average roughness levels among the roadway segments evaluated. In conclusion, when averaging roughness measurements from the same type of vehicle moving at non-uniform speeds, the RIF-transform will provide everincreasing precision and accuracy as the traversal volume increases. | en_US |
| dc.rights | In copyright. Permission to make this version available has been granted by the author and publisher. | |
| dc.title | Characterizing Pavement Roughness at Non-Uniform Speeds Using Connected Vehicles | 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 | 2017-11-07T19:02:37Z | |
| dc.date.available | 2017-11-07T19:02:37Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | https://hdl.handle.net/10365/26803 | |
| dc.subject.lcsh | Transportation. | en_US |
| dc.subject.lcsh | Intelligent transportation systems. | en_US |
| dc.subject.lcsh | Pavements. | en_US |
| dc.identifier.orcid | 0000-0003-3743-6652 | |
| dc.description.sponsorship | Upper Great Plains Transportation Institute (UGPTI) | en_US |
| dc.description.sponsorship | National Center for Transit Research (NCTR) | en_US |
| dc.description.sponsorship | Small Urban and Rural Transit Center (SURTC) of the Upper Great Plains Transportation Institute (UGPTI) | 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 | 10.1080/10298436.2017.1366768 | |
