| dc.contributor.author | Bridgelall, Raj | |
| dc.description.abstract | Continuous, network-wide monitoring of pavement performance will significantly reduce
risks and provide an adequate volume of timely data to enable accurate maintenance forecasting.
Unfortunately, transportation agencies can afford to monitor less than 4% of the nation’s roads.
Even so, agencies monitor their ride quality at most once annually because current methods are
expensive and laborious. Distributed mobile sensing with connected vehicles and smartphones
could provide a viable solution at much lower costs. However, such approaches lack models that
improve with continuous, high-volume data flows. This research characterizes the precision
bounds of the Road Impact Factor transform that aggregates voluminous data feeds from geoposition
and inertial sensors in vehicles to locate potential road distress symptoms. Six case
studies of known bump traversals reveal that vehicle suspension transient motion and sensor
latencies are the dominant factors in position estimate errors and uncertainty levels. However,
for a typical vehicle mix, the precision improves substantially as the number of traversals
approaches 50. | en_US |
| dc.rights | In copyright. Permission to make this version available has been granted by the author and publisher. | |
| dc.title | Precision Bounds of Pavement Distress Localization with Connected Vehicle Sensors | 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 | 2017-12-01T01:02:40Z | |
| dc.date.available | 2017-12-01T01:02:40Z | |
| dc.date.issued | 2014 | |
| dc.identifier.uri | https://hdl.handle.net/10365/26906 | |
| 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.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 | |
