{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T14:06:10Z","timestamp":1771509970705,"version":"3.50.1"},"reference-count":200,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2967436","type":"journal-article","created":{"date-parts":[[2020,1,17]],"date-time":"2020-01-17T21:06:26Z","timestamp":1579295186000},"page":"15543-15564","source":"Crossref","is-referenced-by-count":51,"title":["Requirements for Big Data Adoption for Railway Asset Management"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6796-300X","authenticated-orcid":false,"given":"P.","family":"Mcmahon","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8506-9290","authenticated-orcid":false,"given":"T.","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"R.","family":"Dwight","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2012.08.002"},{"key":"ref172","first-page":"28","article-title":"Designing condition-based maintenance management systems for high-speed fleet","volume":"17","author":"palem","year":"2017","journal-title":"Int J Comput Sci Bus Inf"},{"key":"ref171","year":"2019","journal-title":"Manual of Standards and Recommended Practices Section A Part I"},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1007\/s40864-016-0036-y"},{"key":"ref173","doi-asserted-by":"publisher","DOI":"10.1109\/ICPPW.2012.27"},{"key":"ref176","article-title":"Internet of things technologies to rationalize the data acquisition in industrial asset management","author":"kinnunen","year":"0"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.08.025"},{"key":"ref178","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1007\/s11704-013-3158-3","article-title":"MR-DBSCAN: A scalable MapReduce-based DBSCAN algorithm for heavily skewed data","volume":"8","author":"he","year":"2014","journal-title":"Front Comput Sci"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2015.08.026"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2016.04.005"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1080\/21650020.2019.1566022"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1111\/insr.12176"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.09.094"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.07.007"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2014.10.007"},{"key":"ref31","year":"2019","journal-title":"The Four V&#x2019;s of Big Data"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsis.2017.07.003"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/J.ENG.2016.02.008"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2017.06.012"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2696365"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1080\/12460125.2016.1187401"},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2014.7004431"},{"key":"ref180","doi-asserted-by":"publisher","DOI":"10.1016\/j.bdr.2015.01.006"},{"key":"ref185","doi-asserted-by":"publisher","DOI":"10.1002\/fuce.201600075"},{"key":"ref184","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2587754"},{"key":"ref183","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1007\/s00170-009-2482-0","article-title":"Current status of machine prognostics in condition-based maintenance: A review","volume":"50","author":"peng","year":"2010","journal-title":"Int J Adv Manuf Technol"},{"key":"ref182","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref189","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-016-1228-8"},{"key":"ref188","article-title":"A survey of artificial intelligence for prognostics","author":"schwabacher","year":"0"},{"key":"ref187","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2016.2591504"},{"key":"ref186","author":"kulkarni","year":"2012","journal-title":"Physics Based Modeling and Prognostics of Electrolytic Capacitors"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1080\/10630732.2014.942094"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1016\/j.procs.2015.07.323","article-title":"Railway assets: A potential domain for big data analytics","volume":"53","author":"thaduri","year":"2015","journal-title":"Procedia Comput Sci"},{"key":"ref179","doi-asserted-by":"publisher","DOI":"10.1016\/j.bdr.2015.01.001"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2010.08.006"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1057\/palgrave.jors.2602288"},{"key":"ref22","article-title":"Wheel\/rail interaction: Current&#x2019;state of the art&#x2019;in the Australasian railway industry","author":"epp","year":"0"},{"key":"ref21","article-title":"Aligning asset management policy, strategies and proceses to deliver effective and sustainable results","author":"oweis","year":"0"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jengtecman.2011.03.003"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1177\/0954409714526164"},{"key":"ref26","article-title":"Modern railway infrastructure asset management","author":"jovanovic","year":"0"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2010.12.007"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1080\/10095020.2016.1182307"},{"key":"ref51","author":"den hertog","year":"2016","journal-title":"Bridging the gap between predictive and prescriptive analytics-new optimization methodology needed"},{"key":"ref154","first-page":"668","article-title":"Harnessing the potential of machine learning for bioinformatics using big data tools","volume":"14","author":"ali","year":"2016","journal-title":"Int J Comput Sci Inf Secur"},{"key":"ref153","author":"witten","year":"2016","journal-title":"Data Mining Practical Machine Learning Tools and Techniques"},{"key":"ref156","article-title":"Scalable sentiment classification for big data analysis using naive Bayes classifier","author":"liu","year":"0"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1007\/s10766-016-0401-1"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1109\/MS.2013.125"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.14778\/2876473.2876478"},{"key":"ref151","article-title":"Deep learning for IoT big data and streaming analytics: A survey","author":"mohammadi","year":"2017","journal-title":"arXiv 1712 04301"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1109\/CIT\/IUCC\/DASC\/PICOM.2015.52"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-5225-3176-0.ch002"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.14778\/2367502.2367572"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"ref59","article-title":"The use of condition monitoring information for maintenance planning and decision-making","author":"laakso","year":"2002"},{"key":"ref58","article-title":"Pantograph condition monitoring system for automated maintenance inspections and prevention of overhead wiring tear downs","author":"doyle","year":"0"},{"key":"ref57","article-title":"Track condition assessment and monitoring in heavy haul railroads","author":"hardie","year":"0"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13062-5"},{"key":"ref55","article-title":"Predictive condition monitoring of railway rolling stock","author":"bladon","year":"0"},{"key":"ref54","article-title":"Managing the Australian defined interstate rail network wayside condition monitoring data","author":"jagan","year":"0"},{"key":"ref53","article-title":"Condition-based maintenance using an integrated track maintenance management system","author":"pace","year":"0"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1093\/poq\/nfr057"},{"key":"ref40","article-title":"The impact of maintenance 4.0 and big data analytics within strategic asset management","author":"kans","year":"0"},{"key":"ref167","first-page":"128","article-title":"Utilization of AI in the railway sector: Case study of energy efficiency in railway operations","volume":"65","author":"furutani","year":"2016","journal-title":"Hitachi Rev"},{"key":"ref166","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2016.57"},{"key":"ref165","year":"2019","journal-title":"Cloud-Based Data Analytics Enables Network Rail to Improve the Performance of its Network"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.02.010"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1109\/CDAN.2016.7570960"},{"key":"ref162","doi-asserted-by":"publisher","DOI":"10.5815\/ijitcs.2016.12.07"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2017.07.008"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbusres.2016.08.009"},{"key":"ref4","author":"berners-lee","year":"2019","journal-title":"Information Management A Proposal"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/310930.310977"},{"key":"ref6","author":"diebold","year":"2012","journal-title":"On the Origins and Development of Big Data The Phenomenon the Term and the Discipline"},{"key":"ref5","year":"2019","journal-title":"CERN website"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2014.07.006"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2014.7004437"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.01.015"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-20744-5_8"},{"key":"ref157","first-page":"4081","article-title":"Sentiment analysis based mining and summarizing using SVM-MapReduce","volume":"5","author":"khairnar","year":"2014","journal-title":"Int J Comput Sci Inf Technol"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1500441"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2014.7004424"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3206157.3206166"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2014.01.015"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.17705\/1CAIS.03465"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbusres.2016.08.001"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-015-0032-1"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.bushor.2017.01.004"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwt032"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.10.041"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.5121\/ijcsea.2017.7402"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.08.284"},{"key":"ref71","article-title":"Deploying dashboards and scorecards","author":"eckerson","year":"2006"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-009-0192-4"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.3390\/s17061457"},{"key":"ref77","article-title":"Germany&#x2019;s governmental BIM initiative&#x2014;Assessing the performance of the BIM pilot projects","author":"borrmann","year":"0"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.2495\/CR120201"},{"key":"ref75","year":"0","journal-title":"Specification for Information Management for The Capital\/Delivery Phase of Construction Projects Using Building Information Modeling"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-IV-4-W5-49-2017"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2016.08.019"},{"key":"ref60","article-title":"Condition based maintenance on rail vehicles-possibilities for a more effective maintenance strategy","author":"bengtsson","year":"2003"},{"key":"ref62","article-title":"Recent advances in automated wagon health monitoring and its effects on safety in North America","author":"kalay","year":"0"},{"key":"ref61","article-title":"A study on strategy of condition based maintenance for Korea metro rolling stocks","author":"lee","year":"0"},{"key":"ref63","first-page":"876","article-title":"Data modeling technology in railway operation and maintenance","volume":"67","author":"yano","year":"2018","journal-title":"Hitachi Rev"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/AUTEST.2007.4374241"},{"key":"ref65","article-title":"Integrated maintenance: Analysis and perspective of innovation in railway sector","author":"nappi","year":"2014","journal-title":"arXiv 1404 7560"},{"key":"ref66","article-title":"Standardization issues in condition based maintenance","author":"bengtsson","year":"0"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.7166\/25-1-689"},{"key":"ref68","article-title":"A water utility industry conceptual asset management data warehouse model","author":"mathew","year":"0"},{"key":"ref69","article-title":"Ontology-based data management for the GB rail industry feasibility study","author":"tutcher","year":"2013"},{"key":"ref197","doi-asserted-by":"publisher","DOI":"10.1177\/1748006X17716344"},{"key":"ref198","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2014.2330519"},{"key":"ref199","doi-asserted-by":"publisher","DOI":"10.1016\/j.trpro.2016.05.166"},{"key":"ref193","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-60566-766-9.ch002"},{"key":"ref194","first-page":"10","article-title":"Predictive analytics in data mining with big data: A literature survey","volume":"6","author":"vignesh","year":"2016","journal-title":"International Journal of Applied Science and Engineering Research"},{"key":"ref195","article-title":"Floating train data systems for preventive maintenance: A data mining approach","author":"sammouri","year":"0"},{"key":"ref196","author":"rapolu","year":"2019","journal-title":"Bringing Artificial Intelligence to the Rail Industry"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-25465-X_39"},{"key":"ref94","article-title":"Implementing maximo asset management system for Adelaide&#x2019;s public transport rail assets","author":"taverner","year":"0"},{"key":"ref190","doi-asserted-by":"publisher","DOI":"10.2514\/6.2013-1940"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2013.85"},{"key":"ref191","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2017.8079100"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.05.079"},{"key":"ref192","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2018.08.370"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2011.64"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1145\/1951365.1951426"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2015.07.321"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1108\/02635570310497657"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.2307\/41703503"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45049-1_82"},{"key":"ref82","article-title":"A data quality model for asset management in engineering organizations","author":"gao","year":"0"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/GCC.2006.20"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8258335"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1504\/IJCIS.2006.009436"},{"key":"ref80","article-title":"BIM for sustainable whole-of-life transport infrastructure asset management","author":"sanchez","year":"0"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1007\/s12045-016-0376-7"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijproman.2015.02.006"},{"key":"ref86","first-page":"22","article-title":"Innovation in railway maintenance utilizing information and communication technology (smart maintenance initiative)","author":"takikawa","year":"2016","journal-title":"Jpn Railway Transp Rev"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1016\/j.bushor.2017.01.002"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2013.07.050"},{"key":"ref200","article-title":"EINSTEIN risk-based decision model for the determination of optimized maintenance intervention schedules for infrastructure","author":"veit-egerer","year":"0"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2018.02.014"},{"key":"ref100","article-title":"Data and the Internet of Things","author":"leonard","year":"0"},{"key":"ref127","author":"hub","year":"2019","journal-title":"Blockchains & Distributed Ledger Technologies"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.4236\/jsea.2016.910036"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2014.2332453"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-015-0030-3"},{"key":"ref129","article-title":"Blockchain-based platforrm architecture for industrial IoT","author":"teslya","year":"0"},{"key":"ref128","doi-asserted-by":"crossref","first-page":"1985","DOI":"10.3390\/su10061985","article-title":"Applying blockchain technology: Evidence from norwegian companies","volume":"10","author":"gausdal","year":"2018","journal-title":"Sustainability"},{"key":"ref130","first-page":"2449","article-title":"A review on blockchain application for decentralized decision of ownership of IoT devices","volume":"10","author":"ghuli","year":"2017","journal-title":"Advances in Computer Science and Technology"},{"key":"ref133","article-title":"Are smart contracts and blockchains suitable for decentralized railway control?","author":"kuperberg","year":"2019","journal-title":"arXiv 1901 06236"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1109\/EMR.2018.2883328"},{"key":"ref131","article-title":"Blockchain in Internet of Things: Challenges and solutions","author":"dorri","year":"2016","journal-title":"arXiv 1608 05187 [cs]"},{"key":"ref132","article-title":"Harnessing the power of blockchain technology to solve IoT security & privacy issues","author":"ouaddah","year":"0"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2018.10.014"},{"key":"ref135","author":"probert","year":"2018","journal-title":"Pacific national takes part in experimental blockchain delivery"},{"key":"ref138","author":"rodr\u00edguez","year":"2019","journal-title":"Swiss Federal Railways Develop a Digital Identity Pilot on Ethereum"},{"key":"ref137","author":"alexandre","year":"2019","journal-title":"National Swiss Railway Operator Completes Pilot of Blockchain ID Management System"},{"key":"ref139","author":"newman","year":"2019","journal-title":"How Can Blockchain Open Up New Opportunities for Rail Freight"},{"key":"ref140","year":"2019","journal-title":"BiTA Appoints IEEE-ISTO for Standards"},{"key":"ref141","author":"memoria","year":"2019","journal-title":"Leading UK public transport provider to launch Blockchain-based loyalty program"},{"key":"ref142","first-page":"1","article-title":"How can Blockchain open up new opportunities for rail freight?","volume":"1","author":"morant","year":"2018","journal-title":"Int Railway J"},{"key":"ref143","author":"bhatanagar","year":"2019","journal-title":"Russian Railways Are Eyeing Crypto for Tickets Blockchain for Cargo"},{"key":"ref2","article-title":"Big data and the next wave of infrastress","author":"mashey","year":"1997"},{"key":"ref144","author":"popke","year":"2018","journal-title":"Technology disruptor Blockchain is a potential game-changer in the rail realm"},{"key":"ref1","first-page":"21","article-title":"Managing big data for scientific visualization","volume":"97","author":"cox","year":"1997","journal-title":"ACM SIGGRAPH"},{"key":"ref145","author":"emmanuel","year":"2019","journal-title":"Shenzhen adopts blockchain technology for transportation"},{"key":"ref109","year":"2015","journal-title":"Reliability Growth Enhancing Defense System Reliability"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.2013.645"},{"key":"ref107","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1016\/j.procs.2015.04.015","article-title":"Unstructured data analysis on big data using map reduce","volume":"50","author":"subramaniyaswamy","year":"2015","journal-title":"Procedia Comput Sci"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/35021BIGCOMP.2015.7072811"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1016\/j.spl.2018.02.028"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1111\/cts.12178"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1016\/j.osnem.2017.01.002"},{"key":"ref102","article-title":"Big data in railways common occurrence reporting programme","author":"d\u2019agostino","year":"2016"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1186\/2192-1121-1-7"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.3390\/systems5030045"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-12-S10-S17"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s40171-017-0159-3"},{"key":"ref11","first-page":"431","article-title":"Big data technologies: A survey","volume":"30","author":"oussous","year":"2017","journal-title":"J King Saud Univ -Comput Inf Sci"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2017.09.037"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.4137\/BII.S31559"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2017.11.017"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.4236\/ijcns.2017.103003"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.03.010"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2015.05.002"},{"key":"ref17","article-title":"The potential for using big data analytics to predict safety risks by analyzing rail accidents","author":"parkinson","year":"0"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-017-0832-2"},{"key":"ref18","article-title":"Total system support concept for railway signalling systems","author":"kennedy","year":"0"},{"key":"ref19","year":"2014","journal-title":"Asset Management&#x2014;Management Systems&#x2014;Guidelines for the Application of ISO 55001"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1109\/ICRIS.2016.30"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1201\/b17399-170"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2006.09.001"},{"key":"ref116","first-page":"30","article-title":"Utilizing asset data for predictive asset management","volume":"58","author":"da silva","year":"2011","journal-title":"Comput Ind"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/NBiS.2015.47"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.23940\/ijpe.18.02.p2.202209"},{"key":"ref121","first-page":"368","article-title":"Survey paper on big data","volume":"6","author":"lakshmi","year":"2016","journal-title":"Int J Adv Res Comput Sci Softw Eng"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.5121\/ijist.2016.6204"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.14419\/ijet.v7i2.7.11097"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08961971.pdf?arnumber=8961971","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T10:29:16Z","timestamp":1643279356000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8961971\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":200,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2967436","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}