Inertial Sensor Sample Rate Selection for Ride Quality Measures

dc.contributor.authorBridgelall, Raj
dc.contributor.organizationUpper Great Plains Transportation Institute
dc.date.accessioned2017-12-01T01:14:43Z
dc.date.available2017-12-01T01:14:43Z
dc.date.issued2014
dc.descriptionRaj 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.description.abstractThe Road Impact Factor is a measure of ride-quality. It is derived from the average inertial response of vehicles to road roughness. Unlike the International Roughness Index, the most common measure, the road impact factor does not rely on specialized instrumentation to measure spatial deviations from a flat profile. The most significant advantage of the Road Impact Factor is that low-cost sensors distributed in smartphones and connected vehicles generate the measurements directly. Standardizing the sample rate of inertial sensors in vehicles will provide consistent measures at any speed. This study characterizes the impact of sample rate and traversal volume on measurement consistency, and conducts case studies to validate the theories developed for a recommended standard at 64 hertz.en_US
dc.description.urihttps://www.ugpti.org/about/staff/viewbio.php?id=79
dc.identifier.citationBridgelall, R., "Inertial Sensor Sample Rate Selection for Ride Quality Measures," Journal of Infrastructure Systems, American Society of Civil Engineering, 21 (2), pp. 1-5, 2014.en_US
dc.identifier.orcid0000-0003-3743-6652
dc.identifier.urihttps://hdl.handle.net/10365/26907
dc.language.isoen_USen_US
dc.rightsIn copyright. Permission to make this version available has been granted by the author and publisher.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.lcshTransportation.en_US
dc.subject.lcshIntelligent transportation systems.en_US
dc.subject.lcshPavements.en_US
dc.titleInertial Sensor Sample Rate Selection for Ride Quality Measuresen_US
dc.typeArticleen_US
dc.typePreprinten_US
ndsu.collegeCollege of Business
ndsu.departmentTransportation and Logistics

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