{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T06:39:30Z","timestamp":1743057570534,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030057541"},{"type":"electronic","value":"9783030057558"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-05755-8_26","type":"book-chapter","created":{"date-parts":[[2018,12,8]],"date-time":"2018-12-08T03:34:28Z","timestamp":1544240068000},"page":"261-270","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["RBD: A Reference Railway Big Data System Model"],"prefix":"10.1007","author":[{"given":"Weilan","family":"Lin","sequence":"first","affiliation":[]},{"given":"Fanhua","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Meng","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Ping","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,12,9]]},"reference":[{"key":"26_CR1","first-page":"024","volume":"4","author":"XU Yu-Ping","year":"2015","unstructured":"Yu-Ping, X.U., Qin, G., Zhang, Z.: Study on utilization of big data of urban rail transit investigation. Railw. Transp. Econ. 4, 024 (2015)","journal-title":"Railw. Transp. Econ."},{"issue":"11","key":"26_CR2","doi-asserted-by":"publisher","first-page":"21","DOI":"10.3969\/j.issn.1007-869X.2010.11.006","volume":"13","author":"X Zhang","year":"2010","unstructured":"Zhang, X.: Historic data saving and application in urban rail transit building automation system. Urban Mass Transit 13(11), 21\u201325 (2010). \n                    https:\/\/doi.org\/10.3969\/j.issn.1007-869X.2010.11.006","journal-title":"Urban Mass Transit"},{"key":"26_CR3","unstructured":"Cong, H., University, N.N.: Study on big data analysis based running route tracking of urban rail train. Mod. Electron. Tech. 41(5), 110\u2013115 (2018)"},{"key":"26_CR4","first-page":"187","volume":"24","author":"W Kim","year":"2017","unstructured":"Kim, W., Yong, H.K., Park, H.S., et al.: Analysis of traffic card big data by hadoop and sequential mining technique. J. Inf. Technol. Appl. Manag. 24, 187\u2013196 (2017)","journal-title":"J. Inf. Technol. Appl. Manag."},{"key":"26_CR5","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1007\/978-3-319-47898-2_15","volume-title":"Advances in Big Data","author":"L Oneto","year":"2017","unstructured":"Oneto, L.: Delay prediction system for large-scale railway networks based on big data analytics. In: Angelov, P., Manolopoulos, Y., Iliadis, L., Roy, A., Vellasco, M. (eds.) INNS 2016. AISC, vol. 529, pp. 139\u2013150. Springer, Cham (2017). \n                    https:\/\/doi.org\/10.1007\/978-3-319-47898-2_15"},{"issue":"1","key":"26_CR6","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1016\/j.procs.2015.07.321","volume":"53","author":"E Fumeo","year":"2015","unstructured":"Fumeo, E., Oneto, L., Anguita, D.: Condition based maintenance in railway transportation systems based on big data streaming analysis. Procedia Comput. Sci. 53(1), 437\u2013446 (2015)","journal-title":"Procedia Comput. Sci."},{"issue":"1","key":"26_CR7","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1016\/j.procs.2015.07.323","volume":"53","author":"A Thaduri","year":"2015","unstructured":"Thaduri, A., Galar, D., Kumar, U.: Railway assets: a potential domain for big data analytics. Procedia Comput. Sci. 53(1), 457\u2013467 (2015)","journal-title":"Procedia Comput. Sci."},{"issue":"9","key":"26_CR8","first-page":"1","volume":"25","author":"S Tianyun","year":"2016","unstructured":"Tianyun, S., Jun, L., Ping, L.I., et al.: Overall scheme and key technologies of big data platform for China Railway. Railw. Comput. Appl. 25(9), 1\u20136 (2016)","journal-title":"Railw. Comput. Appl."},{"issue":"9","key":"26_CR9","first-page":"7","volume":"25","author":"MA Xiaoning","year":"2016","unstructured":"Xiaoning, M.A., Ping, L.I., Tianyun, S.: System framework of railway big data application. Railw. Comput. Appl. 25(9), 7\u201313 (2016)","journal-title":"Railw. Comput. Appl."},{"issue":"1","key":"26_CR10","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1016\/j.procir.2014.07.002","volume":"22","author":"I Durazo-Cardenas","year":"2014","unstructured":"Durazo-Cardenas, I., Starr, A., Tsourdos, A., et al.: Precise vehicle location as a fundamental parameter for intelligent self-aware rail-track maintenance systems. Procedia CIRP 22(1), 219\u2013224 (2014)","journal-title":"Procedia CIRP"},{"key":"26_CR11","doi-asserted-by":"publisher","first-page":"1495","DOI":"10.1111\/risa.12836","volume":"37","author":"A Jamshidi","year":"2017","unstructured":"Jamshidi, A., Faghihroohi, S., Hajizadeh, S., et al.: A big data analysis approach for rail failure risk assessment. Risk Anal. Off. Publ. Soc 37, 1495\u20131507 (2017)","journal-title":"Risk Anal. Off. Publ. Soc"},{"issue":"C","key":"26_CR12","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.neucom.2015.08.098","volume":"181","author":"J Liu","year":"2016","unstructured":"Liu, J., Wang, X., Khattak, A.J., et al.: How big data serves for freight safety management at highway-rail grade crossings? A spatial approach fused with path analysis. Neurocomputing 181(C), 38\u201352 (2016)","journal-title":"Neurocomputing"},{"issue":"99","key":"26_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TITS.2018.2866285","volume":"22","author":"L Zhu","year":"2018","unstructured":"Zhu, L., Yu, F.R., Wang, Y., et al.: Big data analytics in intelligent transportation systems: a survey. IEEE Trans. Intell. Transp. Syst. 22(99), 1\u201316 (2018)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"2","key":"26_CR14","doi-asserted-by":"publisher","first-page":"35","DOI":"10.6109\/jkiice.2015.19.1.35","volume":"13","author":"KW Kim","year":"2015","unstructured":"Kim, K.W., Kim, D.W., Noh, K.S., et al.: An exploratory study on improvement method of the subway congestion based big data convergence. J. Korea Inst. Inf. Commun. Eng. 13(2), 35\u201342 (2015)","journal-title":"J. Korea Inst. Inf. Commun. Eng."},{"issue":"11","key":"26_CR15","first-page":"42","volume":"2015","author":"W Cheng","year":"2015","unstructured":"Cheng, W., Tianyun, S.: Railway automatic ticketing and gate monitoring system based on big data analysis. Railw. Comput. Appl. 2015(11), 42\u201345 (2015)","journal-title":"Railw. Comput. Appl."}],"container-title":["Lecture Notes in Computer Science","Smart Computing and Communication"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-05755-8_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T05:32:31Z","timestamp":1558330351000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-05755-8_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030057541","9783030057558"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-05755-8_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"9 December 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SmartCom","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Smart Computing and Communication","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tokyo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"smartc2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}