{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T21:21:06Z","timestamp":1782422466195,"version":"3.54.5"},"reference-count":163,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2024,5,21]],"date-time":"2024-05-21T00:00:00Z","timestamp":1716249600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Bridges are critical components of transportation networks, and their conditions have effects on societal well-being, the economy, and the environment. Automation needs in inspections and maintenance have made structural health monitoring (SHM) systems a key research pillar to assess bridge safety\/health. The last decade brought a boom in innovative bridge SHM applications with the rise in next-generation smart and mobile technologies. A key advancement within this direction is smartphones with their sensory usage as SHM devices. This focused review reports recent advances in bridge SHM backed by smartphone sensor technologies and provides case studies on bridge SHM applications. The review includes model-based and data-driven SHM prospects utilizing smartphones as the sensing and acquisition portal and conveys three distinct messages in terms of the technological domain and level of mobility: (i) vibration-based dynamic identification and damage-detection approaches; (ii) deformation and condition monitoring empowered by computer vision-based measurement capabilities; (iii) drive-by or pedestrianized bridge monitoring approaches, and miscellaneous SHM applications with unconventional\/emerging technological features and new research domains. The review is intended to bring together bridge engineering, SHM, and sensor technology audiences with decade-long multidisciplinary experience observed within the smartphone-based SHM theme and presents exemplary cases referring to a variety of levels of mobility.<\/jats:p>","DOI":"10.3390\/s24113287","type":"journal-article","created":{"date-parts":[[2024,5,22]],"date-time":"2024-05-22T07:56:11Z","timestamp":1716364571000},"page":"3287","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Smartphone Prospects in Bridge Structural Health Monitoring, a Literature Review"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7177-0753","authenticated-orcid":false,"given":"Ekin","family":"Ozer","sequence":"first","affiliation":[{"name":"School of Civil Engineering, University College Dublin, D04V1W8 Dublin, Ireland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3477-1666","authenticated-orcid":false,"given":"Rolands","family":"Kromanis","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering and Management, University of Twente, 7522 NB Enschede, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1080\/10168664.2018.1558033","article-title":"Once upon a time in Italy: The tale of the Morandi Bridge","volume":"29","author":"Calvi","year":"2019","journal-title":"Struct. Eng. Int."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Rania, N., Coppola, I., Martorana, F., and Migliorini, L. (2019). The collapse of the Morandi Bridge in Genoa on 14 August 2018: A collective traumatic event and its emotional impact linked to the place and loss of a symbol. Sustainability, 11.","DOI":"10.3390\/su11236822"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/s13349-019-00370-7","article-title":"Post-collapse analysis of Morandi\u2019s Polcevera viaduct in Genoa Italy","volume":"10","author":"Morgese","year":"2020","journal-title":"J. Civ. Struct. Health Monit."},{"key":"ref_4","unstructured":"Stenlund, Y.D., F\u00e6revik, M.K., and Kristiansen, M.B. (2023). Mulighetsstudie for Aluminium i Fagverksbroer-\u00d8konomiske og B\u00e6rekraftige Aspekter ved Gjennoppbygningen av Tretten Bru. [Bachelor\u2019s Thesis, NTNU\u2014Norwegian University of Science and Technology]."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Doebling, S.W., Farrar, C.R., Prime, M.B., and Shevitz, D.W. (1996). Damage Identification and Health Monitoring of Structural and Mechanical Systems from Changes in Their Vibration Characteristics: A Literature Review, Los Alamos National Laboratory.","DOI":"10.2172\/249299"},{"key":"ref_6","unstructured":"Sohn, H., Farrar, C.R., Hemez, F.M., Shunk, D.D., Stinemates, D.W., Nadler, B.R., and Czarnecki, J.J. (2003). A Review of Structural Health Monitoring Literature: 1996\u20132001, Los Alamos National Laboratory."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1993","DOI":"10.1016\/j.engstruct.2010.02.033","article-title":"Development of a long-term monitoring system based on FBG sensors applied to concrete bridges","volume":"32","author":"Rodrigues","year":"2010","journal-title":"Eng. Struct."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1177\/1475921720935585","article-title":"A review of computer vision\u2013based structural health monitoring at local and global levels","volume":"20","author":"Dong","year":"2021","journal-title":"Struct. Health Monit."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1098\/rsta.2006.1928","article-title":"An introduction to structural health monitoring","volume":"365","author":"Farrar","year":"2007","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1098\/rsta.2006.1925","article-title":"Structural health monitoring of civil infrastructure","volume":"365","author":"Brownjohn","year":"2007","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1098\/rsta.2006.1932","article-title":"An overview of wireless structural health monitoring for civil structures","volume":"365","author":"Lynch","year":"2007","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1098\/rsta.2006.1938","article-title":"The application of machine learning to structural health monitoring","volume":"365","author":"Worden","year":"2007","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1098\/rsta.2006.1927","article-title":"Damage prognosis: The future of structural health monitoring","volume":"365","author":"Farrar","year":"2007","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1098\/rsta.2006.1935","article-title":"Effects of environmental and operational variability on structural health monitoring","volume":"365","author":"Sohn","year":"2007","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1098\/rsta.2006.1930","article-title":"Damage identification using inverse methods","volume":"365","author":"Friswell","year":"2007","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1098\/rsta.2006.1929","article-title":"Time-series methods for fault detection and identification in vibrating structures","volume":"365","author":"Fassois","year":"2007","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci."},{"key":"ref_17","unstructured":"Rytter, A. (1993). Vibrational Based Inspection of Civil Engineering Structures. [Ph.D. Dissertation, Aalborg University]."},{"key":"ref_18","unstructured":"Nagayama, T., and Spencer, B.F. (2007). Newmark Structural Engineering Laboratory Report Series 001, University of Illinois at Urbana-Champaign."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/MIM.2018.8573586","article-title":"IoT for structural health monitoring","volume":"21","author":"Scuro","year":"2018","journal-title":"IEEE Instrum. Meas. Mag."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1016\/j.future.2018.10.059","article-title":"An overview of smartphone technology for citizen-centered, real-time and scalable civil infrastructure monitoring","volume":"93","author":"Alavi","year":"2019","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_21","unstructured":"Ozer, E. (2016). Multisensory Smartphone Applications in Vibration-Based Structural Health Monitoring. [Ph.D. Dissertation, Columbia University]."},{"key":"ref_22","unstructured":"Kromanis, R. (2015). Structural Performance Evaluation of Bridges: Characterizing and Integrating Thermal Response. [Ph.D. Dissertation, University of Exeter]."},{"key":"ref_23","unstructured":"Mei, Q. (2021). Crowdsensing-Based Monitoring of Transportation Infrastructure Using Moving Vehicles. [Ph.D. Dissertation, University of Alberta]."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1080\/15732479.2011.563089","article-title":"Bridge network performance, maintenance and optimisation under uncertainty: Accomplishments and challenges","volume":"8","author":"Frangopol","year":"2012","journal-title":"Struct. Infrastruct. Eng."},{"key":"ref_25","first-page":"liac009","article-title":"Structural health monitoring of railway bridges using innovative sensing technologies and machine learning algorithms: A concise review","volume":"1","author":"Wang","year":"2022","journal-title":"Intell. Transp. Infrastruct."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"766","DOI":"10.1007\/s11227-021-03875-5","article-title":"Cyber-physical systems for structural health monitoring: Sensing technologies and intelligent computing","volume":"78","author":"Doghri","year":"2022","journal-title":"J. Supercomput."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1109\/MPRV.2014.74","article-title":"Smartphones: Past, present, and future","volume":"13","author":"Islam","year":"2014","journal-title":"IEEE Pervasive Comput."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1016\/j.cageo.2009.09.012","article-title":"iSeismometer: A geoscientific iPhone application","volume":"36","author":"Takeuchi","year":"2010","journal-title":"Comput. Geosci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1193\/091711EQS229M","article-title":"Evaluating the reliability of phones as seismic monitoring instruments","volume":"30","author":"Dashti","year":"2014","journal-title":"Earthq. Spectra"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"e1501055","DOI":"10.1126\/sciadv.1501055","article-title":"MyShake: A smartphone seismic network for earthquake early warning and beyond","volume":"2","author":"Kong","year":"2016","journal-title":"Sci. Adv."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/s13349-012-0025-0","article-title":"The application of smartphones to measuring transient structural displacements","volume":"2","author":"Morgenthal","year":"2012","journal-title":"J. Civ. Struct. Health Monit."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"274391","DOI":"10.1155\/2015\/274391","article-title":"Initial validation of mobile-structural health monitoring method using smartphones","volume":"11","author":"Yu","year":"2015","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2980","DOI":"10.3390\/s150202980","article-title":"Citizen sensors for SHM: Use of accelerometer data from smartphones","volume":"15","author":"Feng","year":"2015","journal-title":"Sensors"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"14591","DOI":"10.3390\/s150614591","article-title":"Citizen sensors for SHM: Towards a crowdsourcing platform","volume":"15","author":"Ozer","year":"2015","journal-title":"Sensors"},{"key":"ref_35","first-page":"40","article-title":"Non-contact and real-time dynamic displacement monitoring using smartphone technologies","volume":"4","author":"Min","year":"2015","journal-title":"J. Life Cycle Reliab. Saf. Eng."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1109\/JPROC.2018.2808759","article-title":"Crowdsensing framework for monitoring bridge vibrations using moving smartphones","volume":"106","author":"Matarazzo","year":"2018","journal-title":"Proc. IEEE"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1602","DOI":"10.1177\/1475921718815457","article-title":"A crowdsourcing-based methodology using smartphones for bridge health monitoring","volume":"18","author":"Mei","year":"2019","journal-title":"Struct. Health Monit."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"105903","DOI":"10.1088\/1361-6501\/aa82ac","article-title":"Hybrid motion sensing and experimental modal analysis using collocated smartphone camera and accelerometers","volume":"28","author":"Ozer","year":"2017","journal-title":"Meas. Sci. Technol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1007\/s13349-021-00473-0","article-title":"A multiple camera position approach for accurate displacement measurement using computer vision","volume":"11","author":"Kromanis","year":"2021","journal-title":"J. Civ. Struct. Health Monit."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1111\/mice.12919","article-title":"Strain measurement based on cooperative operation with different smartphones","volume":"38","author":"Xie","year":"2023","journal-title":"Comput.-Aided Civ. Infra-Struct. Eng."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1016\/j.conbuildmat.2018.08.089","article-title":"Frequencies and damping ratios of bridges through Operational Modal Analysis using smartphones","volume":"188","author":"Marmolejo","year":"2018","journal-title":"Constr. Build. Mater."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1111\/mice.12892","article-title":"Systemic reliability of bridge networks with mobile sensing-based model updating for postevent trans-portation decisions","volume":"38","author":"Ozer","year":"2023","journal-title":"Comput.-Aided Civ. Infrastruct. Eng."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"e2321","DOI":"10.1002\/stc.2321","article-title":"A literature review of next-generation smart sensing technology in structural health monitoring","volume":"26","author":"Sony","year":"2019","journal-title":"Struct. Control Health Monit."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"113716","DOI":"10.1016\/j.measurement.2023.113716","article-title":"Review on smartphone sensing technology for structural health monitoring","volume":"223","author":"Sarmadi","year":"2023","journal-title":"Measurement"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Azimi, M., Eslamlou, A.D., and Pekcan, G. (2020). Data-driven structural health monitoring and damage detection through deep learning: State-of-the-art review. Sensors, 20.","DOI":"10.3390\/s20102778"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1906","DOI":"10.1177\/14759217211036880","article-title":"Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights","volume":"21","author":"Malekloo","year":"2022","journal-title":"Struct. Health Monit."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Yu, Y., Zhao, X., and Ou, J. (2012, January 15\u201317). A new idea: Mobile structural health monitoring using Smart phones. Proceedings of the 2012 Third International Conference on Intelligent Control and Information Processing, Dalian, China.","DOI":"10.1109\/ICICIP.2012.6391524"},{"key":"ref_48","first-page":"241","article-title":"Cloud-structural health monitoring based on smartphone","volume":"5","author":"Zhao","year":"2015","journal-title":"Vibroeng. Procedia"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1007\/s13349-015-0132-9","article-title":"Portable and convenient cable force measurement using smartphone","volume":"5","author":"Zhao","year":"2015","journal-title":"J. Civ. Struct. Health Monit."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1687814016683600","DOI":"10.1177\/1687814016683600","article-title":"Public-participant quick cable force investigation method using smartphone for bridges in disaster area","volume":"8","author":"Zhao","year":"2016","journal-title":"Adv. Mech. Eng."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"06016012","DOI":"10.1061\/(ASCE)BE.1943-5592.0001011","article-title":"Smartphone-based mobile testing technique for quick bridge cable\u2013force measurement","volume":"22","author":"Zhao","year":"2017","journal-title":"J. Bridge Eng."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"5625396","DOI":"10.1155\/2017\/5625396","article-title":"Experimental verification for cable force estimation using handheld shooting of smartphones","volume":"2017","author":"Zhao","year":"2017","journal-title":"J. Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.sna.2016.05.012","article-title":"Displacement monitoring technique using a smartphone based on the laser projection-sensing method","volume":"246","author":"Zhao","year":"2016","journal-title":"Sens. Actuators A Phys."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Han, R., Zhao, X., Yu, Y., Guan, Q., Hu, W., and Li, M. (2016). A cyber-physical system for girder hoisting monitoring based on smartphones. Sensors, 16.","DOI":"10.3390\/s16071048"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"085007","DOI":"10.1088\/0964-1726\/25\/8\/085007","article-title":"Synthesizing spatiotemporally sparse smartphone sensor data for bridge modal identification","volume":"25","author":"Ozer","year":"2016","journal-title":"Smart Mater. Struct."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"045026","DOI":"10.1088\/1361-665X\/aa6298","article-title":"Direction-sensitive smart monitoring of structures using heterogeneous smartphone sensor data and coordinate system transformation","volume":"26","author":"Ozer","year":"2017","journal-title":"Smart Mater. Struct."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1550147717705240","DOI":"10.1177\/1550147717705240","article-title":"Biomechanically influenced mobile and participatory pedestrian data for bridge monitoring","volume":"13","author":"Ozer","year":"2017","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_58","unstructured":"Ozer, E., and Feng, M.Q. (2020). Start-Up Creation, Woodhead Publishing."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"e2576","DOI":"10.1002\/stc.2576","article-title":"Multi-output modal identification of landmark suspension bridges with distributed smartphone data: Golden Gate Bridge","volume":"27","author":"Ozer","year":"2020","journal-title":"Struct. Control Health Monit."},{"key":"ref_60","first-page":"1","article-title":"Modal analysis under jittering and kernel clock distribution: Single-output identification","volume":"40","author":"Ramadan","year":"2023","journal-title":"Proc. Inst. Civ. Eng.-Smart Infrastruct. Constr."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1002\/eqe.2527","article-title":"SHM-integrated bridge reliability estimation using multivariate stochastic processes","volume":"44","author":"Ozer","year":"2015","journal-title":"Earthq. Eng. Struct. Dyn."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1193\/080612EQS255M","article-title":"Vibration-based damage detection and seismic performance assessment of bridges","volume":"31","author":"Ozer","year":"2015","journal-title":"Earthq. Spectra"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Ozer, E., and Feng, M.Q. (2019). Structural reliability estimation with participatory sensing and mobile cyber-physical structural health monitoring systems. Appl. Sci., 9.","DOI":"10.3390\/app9142840"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"04017136","DOI":"10.1061\/(ASCE)BE.1943-5592.0001166","article-title":"Determination of stay-cable forces using highly mobile vibration measurement devices","volume":"23","author":"Morgenthal","year":"2018","journal-title":"J. Bridge Eng."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Morgenthal, G., Eick, J.F., Rau, S., and Taraben, J. (2019). Wireless sensor networks composed of standard microcomputers and smartphones for applications in structural health monitoring. Sensors, 19.","DOI":"10.3390\/s19092070"},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Tondo, G.R., Riley, C., and Morgenthal, G. (2023). Characterization of the iPhone LiDAR-based sensing system for vibration measurement and modal analysis. Sensors, 23.","DOI":"10.3390\/s23187832"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1177\/1045389X15585902","article-title":"Nonlinear acoustics for structural health monitoring using mobile, wireless and smartphone-based transducer platform","volume":"27","author":"Oraczewski","year":"2016","journal-title":"J. Intell. Mater. Syst. Struct."},{"key":"ref_68","first-page":"22","article-title":"Smartphone as a real-time and participatory data collection tool for civil engineers","volume":"2","author":"Sharma","year":"2014","journal-title":"Int. J. Mod. Comput. Sci."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"6429430","DOI":"10.1155\/2019\/6429430","article-title":"GPS, accelerometer, and smartphone fused smart sensor for SHM on real-scale bridges","volume":"2019","year":"2019","journal-title":"Adv. Civ. Eng."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"L\u0103p\u0103dat, A.M., Tiberius, C.C., and Teunissen, P.J. (2021). Experimental evaluation of smartphone accelerometer and low-cost dual frequency gnss sensors for deformation monitoring. Sensors, 21.","DOI":"10.3390\/s21237946"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"20539","DOI":"10.1109\/JSEN.2021.3097696","article-title":"Community-Based Multi-Sensory Structural Health Monitoring System: A Smartphone Accelerometer and Camera Fusion Approach","volume":"21","author":"Alzughaibi","year":"2021","journal-title":"IEEE Sens. J."},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Zhang, D., Tian, J., and Li, H. (2020). Design and validation of android smartphone based wireless structural vibration monitoring system. Sensors, 20.","DOI":"10.3390\/s20174799"},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Figueiredo, E., Moldovan, I., Alves, P., Rebelo, H., and Souza, L. (2022). Smartphone Application for Structural Health Monitoring of Bridges. Sensors, 22.","DOI":"10.3390\/s22218483"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"4819","DOI":"10.1007\/s13369-018-3565-8","article-title":"Application of smartphone and model updating technique in structural health monitoring","volume":"44","author":"Dey","year":"2019","journal-title":"Arab. J. Sci. Eng."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"107850","DOI":"10.1016\/j.measurement.2020.107850","article-title":"Online investigation of vibration serviceability limitations using smartphones","volume":"162","author":"Cao","year":"2020","journal-title":"Measurement"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"e2120","DOI":"10.1002\/stc.2120","article-title":"Development of a smart-device-based vibration-measurement system: Effectiveness examination and application cases to existing structure","volume":"25","author":"Shrestha","year":"2018","journal-title":"Struct. Control Health Monit."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"04019208","DOI":"10.1061\/(ASCE)ST.1943-541X.0002513","article-title":"Smartphone-based bridge seismic monitoring system and long-term field application tests","volume":"146","author":"Shrestha","year":"2020","journal-title":"J. Struct. Eng."},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Shrestha, A., and Dang, J. (2020). Deep learning-based real-time auto classification of smartphone measured bridge vibration data. Sensors, 20.","DOI":"10.3390\/s20092710"},{"key":"ref_79","unstructured":"Catbas, N., Dong, C.Z., Celik, O., and Khuc, T. (2018). Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges, CRC Press."},{"key":"ref_80","unstructured":"Kromanis, R. (2020). Start-Up Creation, Woodhead Publishing."},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Makhoul, N., Achillopoulou, D.V., Stamataki, N.K., and Kromanis, R. (2022). Data Driven Methods for Civil Structural Health Monitoring and Resilience, CRC Press.","DOI":"10.1201\/9781003306924-12"},{"key":"ref_82","unstructured":"Kromanis, R., and Elias, S. (2022). European Workshop on Structural Health Monitoring, Springer International Publishing."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"44","DOI":"10.3389\/fbuil.2019.00044","article-title":"Measuring structural deformations in the laboratory environment using smartphones","volume":"5","author":"Kromanis","year":"2019","journal-title":"Front. Built Environ."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.compositesb.2017.06.009","article-title":"A novel sandwich footbridge-Practical application of laminated composites in bridge design and in situ measurements of static response","volume":"126","author":"Pyrzowski","year":"2017","journal-title":"Compos. Part B Eng."},{"key":"ref_85","first-page":"91","article-title":"Damage detection techniques for structural health monitoring of bridges from computer vision derived parameters","volume":"8","author":"Obiechefu","year":"2021","journal-title":"Struct. Monit. Maint."},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"Marchenko, A., Kromanis, R., and Dor\u00e9e, A.G. (2024). Characterizing Bridge Thermal Response for Bridge Load Rating and Condition Assessment: A Parametric Study. Infrastructures, 9.","DOI":"10.3390\/infrastructures9020020"},{"key":"ref_87","doi-asserted-by":"crossref","unstructured":"Bertola, N.J., Papadopoulou, M., Vernay, D., and Smith, I.F. (2017). Optimal multi-type sensor placement for structural identification by static-load testing. Sensors, 17.","DOI":"10.3390\/s17122904"},{"key":"ref_88","unstructured":"Kromanis, R., and Liang, H. (2018, January 10\u201313). Condition assessment of structures using smartphones: A position independent multi-epoch imaging approach. Proceedings of the 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, UK."},{"key":"ref_89","doi-asserted-by":"crossref","unstructured":"Jo, B.W., Lee, Y.S., Jo, J.H., and Khan, R.M.A. (2018). Computer vision-based bridge displacement measurements using rotation-invariant image processing technique. Sustainability, 10.","DOI":"10.3390\/su10061785"},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"114129","DOI":"10.1016\/j.engstruct.2022.114129","article-title":"A computer vision-based method for bridge model updating using displacement influence lines","volume":"259","author":"Martini","year":"2022","journal-title":"Eng. Struct."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1080\/10286608.2022.2030318","article-title":"Technological mediation and civil structure condition assessment: The case of vision-based systems","volume":"39","author":"Voordijk","year":"2022","journal-title":"Civ. Eng. Environ. Syst."},{"key":"ref_92","unstructured":"Obiechefu, C.B., Kromanis, R., Mohammad, F., and Arab, Z. (2021). International Workshop on Civil Structural Health Monitoring, Springer International Publishing."},{"key":"ref_93","unstructured":"Obiechefu, C.B. (2022). Computer Vision-Based Structural Health Monitoring and Condition Assessment for Small to Medium-Span Bridges. [Ph.D. Dissertation, Nottingham Trent University]."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"8843857","DOI":"10.1155\/2021\/8843857","article-title":"Cost-effective and ultraportable smartphone-based vision system for structural deflection monitoring","volume":"2021","author":"Tian","year":"2021","journal-title":"J. Sens."},{"key":"ref_95","doi-asserted-by":"crossref","unstructured":"Xie, B., Li, J., and Zhao, X. (2020). Strain measurement based on speeded-up robust feature algorithm applied to microimages from a smartphone-based microscope. Sensors, 20.","DOI":"10.3390\/s20102805"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"e2692","DOI":"10.1002\/stc.2692","article-title":"Accuracy and sensibility analysis of strain measurement based on microimages captured by smartphone with a microscope","volume":"28","author":"Xie","year":"2021","journal-title":"Struct. Control Health Monit."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"109724","DOI":"10.1016\/j.measurement.2021.109724","article-title":"Design and development of a new strain measuring method based on smartphone and machine vision","volume":"182","author":"Xie","year":"2021","journal-title":"Measurement"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1080\/15732479.2020.1835999","article-title":"A marker-free method for structural dynamic displacement measurement based on optical flow","volume":"18","author":"Zhu","year":"2021","journal-title":"Struct. Infrastruct. Eng."},{"key":"ref_99","unstructured":"Kromanis, R., and Al-Habaibeh, A. (2017, January 5\u20138). Low cost vision-based systems using smartphones for measuring deformation in structures for condition monitoring and asset management. Proceedings of the 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure (Brisbane, QLD), Brisbane, Australia."},{"key":"ref_100","unstructured":"Dong, C.Z., and Catbas, F.N. (2020). Experimental Vibration Analysis for Civil Structures, CRC Press."},{"key":"ref_101","first-page":"579","article-title":"Convenient displacement monitoring technique using smartphone","volume":"5","author":"Zhao","year":"2015","journal-title":"Vibroeng. Procedia"},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"1871230","DOI":"10.1155\/2016\/1871230","article-title":"Experimental research on quick structural health monitoring technique for bridges using smartphone","volume":"2016","author":"Zhao","year":"2016","journal-title":"Adv. Mater. Sci. Eng."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"04017029","DOI":"10.1061\/(ASCE)CF.1943-5509.0001025","article-title":"Distributed displacement response investigation technique for bridge structures using smartphones","volume":"31","author":"Zhao","year":"2017","journal-title":"J. Perform. Constr. Facil."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"2347","DOI":"10.1016\/j.engstruct.2008.01.013","article-title":"Structural health monitoring and reliability estimation: Long span truss bridge application with environmental monitoring data","volume":"30","author":"Catbas","year":"2008","journal-title":"Eng. Struct."},{"key":"ref_105","unstructured":"Borah, S. (2023). Characterisation of Thermal Response of Bridges for Structural Health Monitoring using Computer Vision-Based Technologies. [Ph.D. Dissertation, Nottingham Trent University]."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"e2473","DOI":"10.1002\/stc.2473","article-title":"Image processing\u2013based real-time displacement monitoring methods using smart devices","volume":"27","author":"Shrestha","year":"2020","journal-title":"Struct. Control. Health Monit."},{"key":"ref_107","unstructured":"Park, J.C., Cho, J.S., Gil, H.B., and Shin, J.I. (2015, January 1\u20133). Measurement and evaluation of thermal movements of existing bridges using a series of two-dimensional images. Proceedings of the 7th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII 2015), Torino, Italy."},{"key":"ref_108","first-page":"141","article-title":"Smartphone-based structural crack detection using pruned fully convolutional networks and edge computing","volume":"29","author":"Ye","year":"2022","journal-title":"Smart Struct. Syst."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.autcon.2019.03.003","article-title":"Automatic damage detection of historic masonry buildings based on mobile deep learning","volume":"103","author":"Wang","year":"2019","journal-title":"Autom. Constr."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"107093","DOI":"10.1016\/j.measurement.2019.107093","article-title":"Measurement of concrete crack feature with android smartphone APP based on digital image processing techniques","volume":"150","author":"Ni","year":"2020","journal-title":"Measurement"},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1111\/mice.12837","article-title":"Research on the feasibility of visual measurement using first-person perspective based on smartphones","volume":"38","author":"Han","year":"2023","journal-title":"Comput.-Aided Civ. Infrastruct. Eng."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.1080\/15732479.2019.1680709","article-title":"Vision-based defects detection for bridges using transfer learning and convolutional neural networks","volume":"16","author":"Zhu","year":"2020","journal-title":"Struct. Infrastruct. Eng."},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"e2751","DOI":"10.1002\/stc.2751","article-title":"Deep learning smartphone application for real-time detection of defects in buildings","volume":"28","author":"Perez","year":"2021","journal-title":"Struct. Control Health Monit."},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"115993","DOI":"10.1016\/j.engstruct.2023.115993","article-title":"Monitoring the dynamic response of a pedestrian bridge by using low-cost GNSS receivers","volume":"284","author":"Xue","year":"2023","journal-title":"Eng. Struct."},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1016\/j.engstruct.2014.10.010","article-title":"Identification of dynamic displacements and modal frequencies of a medium-span suspension bridge using multimode GNSS processing","volume":"81","author":"Yu","year":"2014","journal-title":"Eng. Struct."},{"key":"ref_116","unstructured":"Ozer, E., and OBrien, E. (2024). Digital Railway Infrastructure, Springer."},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"116690","DOI":"10.1016\/j.jsv.2021.116690","article-title":"Subspace identification of bridge dynamics via traversing vehicle measurements","volume":"523","author":"Jin","year":"2022","journal-title":"J. Sound Vib."},{"key":"ref_118","first-page":"286139","article-title":"A review of indirect bridge monitoring using passing vehicles","volume":"2015","author":"Malekjafarian","year":"2015","journal-title":"Shock Vib."},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"1850025","DOI":"10.1142\/S0219455418500256","article-title":"State-of-the-art review on modal identification and damage detection of bridges by moving test vehicles","volume":"18","author":"Yang","year":"2018","journal-title":"Int. J. Struct. Stab. Dyn."},{"key":"ref_120","doi-asserted-by":"crossref","unstructured":"Zhu, L., and Malekjafarian, A. (2019). On the use of ensemble empirical mode decomposition for the identification of bridge frequency from the responses measured in a passing vehicle. Infrastructures, 4.","DOI":"10.3390\/infrastructures4020032"},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1007\/s13349-017-0218-7","article-title":"Implementation of a drive-by monitoring system for transport infrastructure utilising smartphone technology and GNSS","volume":"7","author":"McGetrick","year":"2017","journal-title":"J. Civ. Struct. Health Monit."},{"key":"ref_122","doi-asserted-by":"crossref","unstructured":"Elhattab, A., Uddin, N., and OBrien, E. (2019). Extraction of bridge fundamental frequencies utilizing a smartphone MEMS accelerometer. Sensors, 19.","DOI":"10.3390\/s19143143"},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"04020041","DOI":"10.1061\/(ASCE)BE.1943-5592.0001565","article-title":"Frequency identification of bridges using smartphones on vehicles with variable features","volume":"25","author":"Mei","year":"2020","journal-title":"J. Bridge Eng."},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1007\/s13349-020-00399-z","article-title":"Bridge frequency estimation strategies using smartphones","volume":"10","author":"Sitton","year":"2020","journal-title":"J. Civ. Struct. Health Monit."},{"key":"ref_125","doi-asserted-by":"crossref","unstructured":"Shirzad-Ghaleroudkhani, N., and G\u00fcl, M. (2020). Inverse filtering for frequency identification of bridges using smartphones in passing vehicles: Fundamental developments and laboratory verifications. Sensors, 20.","DOI":"10.3390\/s20041190"},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"106733","DOI":"10.1016\/j.ymssp.2020.106733","article-title":"Bridge modal identification using acceleration measurements within moving vehicles","volume":"141","author":"Eshkevari","year":"2020","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"2022","DOI":"10.1177\/14759217221109014","article-title":"Bridge modal property identification based on asynchronous mobile sensing data","volume":"22","author":"Eshkevari","year":"2022","journal-title":"Struct. Health Monit."},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"1329","DOI":"10.1007\/s13349-022-00593-1","article-title":"Smartphone-based bridge monitoring through vehicle\u2013bridge interaction: Analysis and experimental assessment","volume":"12","author":"Fiandaca","year":"2022","journal-title":"J. Civ. Struct. Health Monit."},{"key":"ref_129","doi-asserted-by":"crossref","unstructured":"Shin, R., Okada, Y., and Yamamoto, K. (2023). Discussion on a Vehicle\u2013Bridge Interaction System Identification in a Field Test. Sensors, 23.","DOI":"10.3390\/s23010539"},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"104048","DOI":"10.1016\/j.autcon.2021.104048","article-title":"Shared micromobility-driven modal identification of urban bridges","volume":"134","author":"Quqa","year":"2022","journal-title":"Autom. Constr."},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1038\/s44172-022-00025-4","article-title":"Crowdsourcing bridge dynamic monitoring with smartphone vehicle trips","volume":"1","author":"Matarazzo","year":"2022","journal-title":"Commun. Eng."},{"key":"ref_132","doi-asserted-by":"crossref","unstructured":"Zhang, B., Zhao, H., Tan, C., OBrien, E.J., Fitzgerald, P.C., and Kim, C.W. (2022). Laboratory Investigation on Detecting Bridge Scour Using the Indirect Measurement from a Passing Vehicle. Remote Sens., 14.","DOI":"10.3390\/rs14133106"},{"key":"ref_133","doi-asserted-by":"crossref","unstructured":"Gkoumas, K., Gkoktsi, K., Bono, F., Galassi, M.C., and Tirelli, D. (2021). The way forward for indirect structural health monitoring (iSHM) using connected and automated vehicles in Europe. Infrastructures, 6.","DOI":"10.3390\/infrastructures6030043"},{"key":"ref_134","doi-asserted-by":"crossref","first-page":"04023189","DOI":"10.1061\/JSENDH.STENG-11748","article-title":"A Crowdsensing-Based Framework for Indirect Bridge Monitoring Using Mel-Frequency Cepstral Analysis Considering Elimination of Operational Effects","volume":"150","year":"2024","journal-title":"J. Struct. Eng."},{"key":"ref_135","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1007\/s13349-020-00411-6","article-title":"Towards smart cities: Crowdsensing-based monitoring of transportation infrastructure using in-traffic vehicles","volume":"10","author":"Mei","year":"2020","journal-title":"J. Civ. Struct. Health Monit."},{"key":"ref_136","doi-asserted-by":"crossref","first-page":"1257","DOI":"10.1111\/mice.13130","article-title":"Damage scenario analysis of bridges using crowdsourced smartphone data from passing vehicles","volume":"39","author":"Sitton","year":"2023","journal-title":"Comput.-Aided Civ. Infrastruct. Eng."},{"key":"ref_137","doi-asserted-by":"crossref","first-page":"1850073","DOI":"10.1142\/S0219455418500736","article-title":"Contact-point response for modal identification of bridges by a moving test vehicle","volume":"18","author":"Yang","year":"2018","journal-title":"Int. J. Struct. Stab. Dyn."},{"key":"ref_138","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.jsv.2018.01.015","article-title":"An effective means for damage detection of bridges using the contact-point response of a moving test vehicle","volume":"419","author":"Zhang","year":"2018","journal-title":"J. Sound Vib."},{"key":"ref_139","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1007\/s11803-023-2213-9","article-title":"Smartphone-based bridge frequency identification using vehicle contact-point response","volume":"22","author":"Liu","year":"2023","journal-title":"Earthq. Eng. Eng. Vib."},{"key":"ref_140","doi-asserted-by":"crossref","first-page":"04024036","DOI":"10.1061\/JBENF2.BEENG-6344","article-title":"Indirect Frequency Identification of Footbridges with Pedestrians Using the Contact-Point Response of Shared Scooters","volume":"29","author":"Li","year":"2024","journal-title":"J. Bridge Eng."},{"key":"ref_141","doi-asserted-by":"crossref","first-page":"5436675","DOI":"10.1155\/2024\/5436675","article-title":"Damage Detection in Bridge Structures through Compressed Sensing of Crowdsourced Smartphone Data","volume":"2024","author":"Mei","year":"2024","journal-title":"Struct. Control Health Monit."},{"key":"ref_142","doi-asserted-by":"crossref","first-page":"1466","DOI":"10.1016\/j.istruc.2022.08.075","article-title":"A review of mobile sensing of bridges using moving vehicles: Progress to date, challenges and future trends","volume":"44","author":"Malekjafarian","year":"2022","journal-title":"Structures"},{"key":"ref_143","doi-asserted-by":"crossref","first-page":"2230005","DOI":"10.1142\/S0219455422300051","article-title":"Recent advances in researches on vehicle scanning method for bridges","volume":"22","author":"Wang","year":"2022","journal-title":"Int. J. Struct. Stab. Dyn."},{"key":"ref_144","doi-asserted-by":"crossref","first-page":"625","DOI":"10.12989\/sss.2016.18.3.625","article-title":"Experimental validation of smartphones for measuring human-induced loads","volume":"18","author":"Chen","year":"2016","journal-title":"Smart Struct. Syst."},{"key":"ref_145","doi-asserted-by":"crossref","first-page":"103092","DOI":"10.1016\/j.autcon.2020.103092","article-title":"Estimation of crowd flow and load on pedestrian bridges using machine learning with sensor fusion","volume":"112","author":"Mustapha","year":"2020","journal-title":"Autom. Constr."},{"key":"ref_146","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1109\/MIM.2021.9448251","article-title":"A new structural health monitoring approach based on smartphone measurements of magnetic field intensity","volume":"24","author":"Nazar","year":"2021","journal-title":"IEEE Instrum. Meas. Mag."},{"key":"ref_147","doi-asserted-by":"crossref","first-page":"1349","DOI":"10.1088\/0143-0807\/34\/6\/1349","article-title":"Oscillations studied with the smartphone ambient light sensor","volume":"34","author":"Sans","year":"2013","journal-title":"Eur. J. Phys."},{"key":"ref_148","doi-asserted-by":"crossref","first-page":"2882","DOI":"10.1177\/1369433219852565","article-title":"Bolt loosening detection based on audio classification","volume":"22","author":"Zhang","year":"2019","journal-title":"Adv. Struct. Eng."},{"key":"ref_149","doi-asserted-by":"crossref","first-page":"1292","DOI":"10.1080\/15732479.2019.1615962","article-title":"Use of gaming technology to bring bridge inspection to the office","volume":"15","author":"Omer","year":"2019","journal-title":"Struct. Infrastruct. Eng."},{"key":"ref_150","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1016\/j.aei.2015.03.005","article-title":"Augmented reality visualization: A review of civil infrastructure system applications","volume":"29","author":"Behzadan","year":"2015","journal-title":"Adv. Eng. Inform."},{"key":"ref_151","doi-asserted-by":"crossref","first-page":"8715784","DOI":"10.1155\/2023\/8715784","article-title":"Innovative Life-Cycle Inspection Strategy of Civil Infrastructure: Smartphone-Based Public Participation","volume":"2023","author":"Chen","year":"2023","journal-title":"Struct. Control Health Monit."},{"key":"ref_152","doi-asserted-by":"crossref","unstructured":"Duan, J., He, W., Xu, S., Zhong, Z., and Huang, L. (2022). Smartphone-Based and Data-Driven Superstructure State Prediction Method for Highway Bridges in Service. Sensors, 22.","DOI":"10.3390\/s22155620"},{"key":"ref_153","doi-asserted-by":"crossref","first-page":"111947","DOI":"10.1016\/j.measurement.2022.111947","article-title":"Structural vibration performance test based on smart phone and improved comfort evaluation method","volume":"203","author":"Wang","year":"2022","journal-title":"Measurement"},{"key":"ref_154","doi-asserted-by":"crossref","first-page":"108449","DOI":"10.1016\/j.measurement.2020.108449","article-title":"A smartphone camera and built-in gyroscope based application for non-contact yet accurate off-axis structural displacement measurements","volume":"167","author":"Yu","year":"2021","journal-title":"Measurement"},{"key":"ref_155","doi-asserted-by":"crossref","first-page":"1685","DOI":"10.1177\/1369433218824906","article-title":"A novel smartphone-based evaluation system of pedestrian-induced footbridge vibration comfort","volume":"22","author":"Chen","year":"2019","journal-title":"Adv. Struct. Eng."},{"key":"ref_156","doi-asserted-by":"crossref","first-page":"1371","DOI":"10.1061\/JMCEA3.0002909","article-title":"Identification of linear structural dynamic systems","volume":"108","author":"Shinozuka","year":"1982","journal-title":"J. Eng. Mech. Div."},{"key":"ref_157","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1080\/03601218008907359","article-title":"Identification of nonlinear structural dynamic systems","volume":"8","author":"Yun","year":"1980","journal-title":"J. Struct. Mech."},{"key":"ref_158","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/0141-0296(93)90054-8","article-title":"Measurements of static and dynamic displacement from visual monitoring of the Humber Bridge","volume":"15","author":"Stephen","year":"1993","journal-title":"Eng. Struct."},{"key":"ref_159","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1016\/S0022-460X(03)00378-X","article-title":"Extracting bridge frequencies from the dynamic response of a passing vehicle","volume":"272","author":"Yang","year":"2004","journal-title":"J. Sound Vib."},{"key":"ref_160","doi-asserted-by":"crossref","first-page":"572","DOI":"10.1016\/j.measurement.2018.12.014","article-title":"A sensor-centric survey on the development of smartphone measurement and sensing systems","volume":"135","author":"Grossi","year":"2019","journal-title":"Measurement"},{"key":"ref_161","doi-asserted-by":"crossref","first-page":"3855","DOI":"10.1109\/ACCESS.2018.2885918","article-title":"A survey on mobile crowd-sensing and its applications in the IoT era","volume":"7","author":"Abualsaud","year":"2018","journal-title":"IEEE Access"},{"key":"ref_162","first-page":"567","article-title":"A review on deep learning-based structural health monitoring of civil infrastructures","volume":"24","author":"Ye","year":"2019","journal-title":"Smart Struct. Syst."},{"key":"ref_163","doi-asserted-by":"crossref","first-page":"3018","DOI":"10.1177\/14759217221075241","article-title":"Three decades of statistical pattern recognition paradigm for SHM of bridges","volume":"21","author":"Figueiredo","year":"2022","journal-title":"Struct. Health Monit."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/11\/3287\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:46:03Z","timestamp":1760107563000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/11\/3287"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,21]]},"references-count":163,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2024,6]]}},"alternative-id":["s24113287"],"URL":"https:\/\/doi.org\/10.3390\/s24113287","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,21]]}}}