| dc.contributor.author | Bridgelall, Raj | |
| dc.contributor.author | Chia, Leonard | |
| dc.contributor.author | Bhardwaj, Bhavana | |
| dc.contributor.author | Lu, Pan | |
| dc.contributor.author | Tolliver, Denver D. | |
| dc.contributor.author | Dhingra, Neeraj | |
| dc.description.abstract | Frequent network-wide monitoring of the condition of roadways and railways prevent fatalities, injuries, and financial losses. Even so, agencies cannot afford to inspect vast transportation networks using present methods. Therefore, the idea of using low-cost sensors aboard connected vehicles became appealing. However, low-cost sensors introduce new challenges to improve poor signal quality which causes detection errors. Common approaches apply computationally complex filters to individual signal streams, which limits further improvements. This paper presents a method that combines signals from each traversal in a manner that leads to ever-increasing signal quality. The proposed method addresses the challenges of poor accuracy and precision of position estimates from global positioning system (GPS) receivers, and errors from the non-uniform sampling of low-cost accelerometers. The result is improved signal quality from a 20% improvement in signal alignment over GPS and a 90-fold enhancement in distance precision. | en_US |
| dc.rights | In copyright. Permission to make this version available has been granted by the author and publisher. | |
| dc.title | Enhancement of Signals from Connected Vehicles to Detect Roadway and Railway Anomalies | 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 | 2021-08-03T21:26:17Z | |
| dc.date.available | 2021-08-03T21:26:17Z | |
| dc.date.issued | 2019 | |
| dc.identifier.uri | https://hdl.handle.net/10365/31979 | |
| dc.subject | Ensemble averaging. | en_US |
| dc.subject | Feature extraction. | en_US |
| dc.subject | GPS errors. | en_US |
| dc.subject | Low-cost MEMs. | en_US |
| dc.subject | Pothole detection. | en_US |
| dc.subject | Railroad track geometry. | en_US |
| dc.subject | Signal alignment. | en_US |
| dc.identifier.orcid | 0000-0003-3743-6652 | |
| dc.identifier.orcid | 0000-0001-9174-4969 | |
| dc.identifier.orcid | 0000-0002-4379-1565 | |
| dc.identifier.orcid | 0000-0002-1640-3598 | |
| dc.identifier.orcid | 0000-0002-8522-9394 | |
| dc.identifier.orcid | 0000-0001-9970-7185 | |
| dc.identifier.citation | Bridgelall, Raj, Leonard Chia, Bhavana Bhardwaj, Pan Lu, Denver Tolliver, and Neeraj Dhingra, "Enhancement of Signals from Connected Vehicles to Detect Roadway and Railway Anomalies," Measurement Science and Technology, DOI: 10.1088/1361-6501/ab5b54, November 25, 2019. | en_US |
| dc.description.sponsorship | North Dakota State University | en_US |
| 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 | |
| dc.identifier.doi | 10.1088/1361-6501/ab5b54 | |
