Smartphone’s Sensing Capabilities for On-Board Railway Track Monitoring: Structural Performance and Geometrical Degradation Assessment
Railway infrastructure managers run dedicated inspection vehicles to monitor the geometric quality of the track (among other aspects) to detect irregularities and ensure safe running conditions of railway lines, in accordance with specific regulations. Unfortunately, these inspections disturb the no...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2019/1729153 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832564071990296576 |
|---|---|
| author | André Paixão Eduardo Fortunato Rui Calçada |
| author_facet | André Paixão Eduardo Fortunato Rui Calçada |
| author_sort | André Paixão |
| collection | DOAJ |
| description | Railway infrastructure managers run dedicated inspection vehicles to monitor the geometric quality of the track (among other aspects) to detect irregularities and ensure safe running conditions of railway lines, in accordance with specific regulations. Unfortunately, these inspections disturb the normal traffic operation, especially in networks with intense traffic; are generally carried out only a few times per year; and, consequently, do not provide prompt identification of critical situations. Considering the recent developments and cost reduction in sensing capabilities of smartphones, the authors present an approach to use these technologies to perform constant acceleration measurements inside in-service trains to complement the assessment of the structural performance and geometrical degradation of the tracks. Cross-correlation values above 0.85 were obtained between the standard deviations of the longitudinal level and the experimental vertical accelerations measured on-board a passenger train on an 11-km railway stretch. The results showed that the approach can be used to identify critical situations that affect the performance of the track, regarding passenger comfort, degradation rates, and risk of derailment. It may comprise a low-cost and crowdsourced complement to the general current practice of track geometric inspection by dedicated vehicles and contribute to an earlier detection of track malfunctions, consequently, to a more efficient maintenance planning and infrastructure management. |
| format | Article |
| id | doaj-art-9b5404b34b874f71853ec202735a4964 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-9b5404b34b874f71853ec202735a49642025-02-03T01:11:49ZengWileyAdvances in Civil Engineering1687-80861687-80942019-01-01201910.1155/2019/17291531729153Smartphone’s Sensing Capabilities for On-Board Railway Track Monitoring: Structural Performance and Geometrical Degradation AssessmentAndré Paixão0Eduardo Fortunato1Rui Calçada2Transportation Department, National Laboratory for Civil Engineering (LNEC), Lisbon 1700-066, PortugalTransportation Department, National Laboratory for Civil Engineering (LNEC), Lisbon 1700-066, PortugalCONSTRUCT - LESE, Faculty of Engineering (FEUP), University of Porto, Porto 4200-465, PortugalRailway infrastructure managers run dedicated inspection vehicles to monitor the geometric quality of the track (among other aspects) to detect irregularities and ensure safe running conditions of railway lines, in accordance with specific regulations. Unfortunately, these inspections disturb the normal traffic operation, especially in networks with intense traffic; are generally carried out only a few times per year; and, consequently, do not provide prompt identification of critical situations. Considering the recent developments and cost reduction in sensing capabilities of smartphones, the authors present an approach to use these technologies to perform constant acceleration measurements inside in-service trains to complement the assessment of the structural performance and geometrical degradation of the tracks. Cross-correlation values above 0.85 were obtained between the standard deviations of the longitudinal level and the experimental vertical accelerations measured on-board a passenger train on an 11-km railway stretch. The results showed that the approach can be used to identify critical situations that affect the performance of the track, regarding passenger comfort, degradation rates, and risk of derailment. It may comprise a low-cost and crowdsourced complement to the general current practice of track geometric inspection by dedicated vehicles and contribute to an earlier detection of track malfunctions, consequently, to a more efficient maintenance planning and infrastructure management.http://dx.doi.org/10.1155/2019/1729153 |
| spellingShingle | André Paixão Eduardo Fortunato Rui Calçada Smartphone’s Sensing Capabilities for On-Board Railway Track Monitoring: Structural Performance and Geometrical Degradation Assessment Advances in Civil Engineering |
| title | Smartphone’s Sensing Capabilities for On-Board Railway Track Monitoring: Structural Performance and Geometrical Degradation Assessment |
| title_full | Smartphone’s Sensing Capabilities for On-Board Railway Track Monitoring: Structural Performance and Geometrical Degradation Assessment |
| title_fullStr | Smartphone’s Sensing Capabilities for On-Board Railway Track Monitoring: Structural Performance and Geometrical Degradation Assessment |
| title_full_unstemmed | Smartphone’s Sensing Capabilities for On-Board Railway Track Monitoring: Structural Performance and Geometrical Degradation Assessment |
| title_short | Smartphone’s Sensing Capabilities for On-Board Railway Track Monitoring: Structural Performance and Geometrical Degradation Assessment |
| title_sort | smartphone s sensing capabilities for on board railway track monitoring structural performance and geometrical degradation assessment |
| url | http://dx.doi.org/10.1155/2019/1729153 |
| work_keys_str_mv | AT andrepaixao smartphonessensingcapabilitiesforonboardrailwaytrackmonitoringstructuralperformanceandgeometricaldegradationassessment AT eduardofortunato smartphonessensingcapabilitiesforonboardrailwaytrackmonitoringstructuralperformanceandgeometricaldegradationassessment AT ruicalcada smartphonessensingcapabilitiesforonboardrailwaytrackmonitoringstructuralperformanceandgeometricaldegradationassessment |