{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T15:56:23Z","timestamp":1780588583196,"version":"3.54.1"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,3,1]],"date-time":"2018-03-01T00:00:00Z","timestamp":1519862400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572332"],"award-info":[{"award-number":["61572332"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["2016SCU04A22"],"award-info":[{"award-number":["2016SCU04A22"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2016T90850"],"award-info":[{"award-number":["2016T90850"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Academy of Finland Foundation","award":["295694"],"award-info":[{"award-number":["295694"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Data Sci. Eng."],"published-print":{"date-parts":[[2018,3]]},"DOI":"10.1007\/s41019-018-0061-9","type":"journal-article","created":{"date-parts":[[2018,3,15]],"date-time":"2018-03-15T12:10:49Z","timestamp":1521115849000},"page":"52-67","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Bus-OLAP: A Data Management Model for Non-on-Time Events Query Over Bus Journey Data"],"prefix":"10.1007","volume":"3","author":[{"given":"Lei","family":"Duan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tinghai","family":"Pang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jyrki","family":"Nummenmaa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Zuo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changjie","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,3,15]]},"reference":[{"key":"61_CR1","doi-asserted-by":"crossref","unstructured":"Bao J, He T, Ruan S, Li Y, Zheng Y (2017) Planning bike lanes based on sharing-bikes\u2019 trajectories. In: Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining, pp 1377\u20131386","DOI":"10.1145\/3097983.3098056"},{"key":"61_CR2","doi-asserted-by":"crossref","unstructured":"Chen M, Liu Y, Yu X (2015) Predicting next locations with object clustering and trajectory clustering. In: Proceedings of the 19th Pacific\u2013Asia conference on knowledge discovery and data mining, part II, pp 344\u2013356","DOI":"10.1007\/978-3-319-18032-8_27"},{"issue":"12","key":"61_CR3","doi-asserted-by":"publisher","first-page":"1230","DOI":"10.14778\/2536274.2536283","volume":"6","author":"A Eldawy","year":"2013","unstructured":"Eldawy A, Mokbel MF (2013) A demonstration of spatialhadoop: an efficient mapreduce framework for spatial data. Proc VLDB Endow 6(12):1230\u20131233","journal-title":"Proc VLDB Endow"},{"issue":"2","key":"61_CR4","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1109\/TITS.2009.2021448","volume":"10","author":"B Ghosh","year":"2009","unstructured":"Ghosh B, Basu B, O\u2019Mahony M (2009) Multivariate short-term traffic flow forecasting using time-series analysis. IEEE Trans Intell Transp Syst 10(2):246\u2013254","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"61_CR5","doi-asserted-by":"crossref","unstructured":"Guttman A (1984) R-trees: a dynamic index structure for spatial searching. In: Proceedings of ACM SIGMOD\u201984, pp 47\u201357","DOI":"10.1145\/602259.602266"},{"issue":"1","key":"61_CR6","first-page":"36","volume":"14","author":"Y Han","year":"2016","unstructured":"Han Y, Moutarde F (2016) Analysis of large-scale traffic dynamics in an urban transportation network using non-negative tensor factorization. Int J Intell Transp Syst Res 14(1):36\u201349","journal-title":"Int J Intell Transp Syst Res"},{"issue":"2","key":"61_CR7","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1145\/1071610.1071612","volume":"30","author":"HV Jagadish","year":"2005","unstructured":"Jagadish HV, Ooi BC, Tan KL, Yu C, Zhang R (2005) iDistance: an adaptive B $${}^{\\text{+ }}$$ + -tree based indexing method for nearest neighbor search. ACM Trans Database Syst 30(2):364\u2013397","journal-title":"ACM Trans Database Syst"},{"key":"61_CR8","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.future.2015.11.013","volume":"61","author":"X Kong","year":"2016","unstructured":"Kong X, Xu Z, Shen G, Wang J, Yang Q, Zhang B (2016) Urban traffic congestion estimation and prediction based on floating car trajectory data. Future Gener Comput Syst 61:97\u2013107","journal-title":"Future Gener Comput Syst"},{"issue":"2","key":"61_CR9","first-page":"225","volume":"50","author":"D Liu","year":"2013","unstructured":"Liu D, Chen H, Qi H, Yang B (2013) Advances in spatiotemporal data mining. J Comput Res Dev 50(2):225\u2013239","journal-title":"J Comput Res Dev"},{"key":"61_CR10","doi-asserted-by":"crossref","unstructured":"Pang LX, Chawla S, Liu W, Zheng Y (2011) On mining anomalous patterns in road traffic streams. In: Proceedings of the 7th international conference on advanced data mining and applications, part II, pp 237\u2013251","DOI":"10.1007\/978-3-642-25856-5_18"},{"key":"61_CR11","doi-asserted-by":"crossref","unstructured":"Pang T, Duan L, Nummenmaa J, Zuo J, Zhang P (2017) Bus-OLAP: a bus journey data management model for non-on-time events query. In: Proceedings of the 1st international joint conference on web and big data, part II, pp 185\u2013200","DOI":"10.1007\/978-3-319-63564-4_15"},{"key":"61_CR12","doi-asserted-by":"crossref","unstructured":"Sistla AP, Wolfson O, Chamberlain S, Dao S (1997) Modeling and querying moving objects. In: Proceedings of the 13th international conference on data engineering, pp 422\u2013432","DOI":"10.1109\/ICDE.1997.581973"},{"issue":"2","key":"61_CR13","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/S0968-090X(03)00004-4","volume":"11","author":"A Stathopoulos","year":"2003","unstructured":"Stathopoulos A, Karlaftis MG (2003) A multivariate state space approach for urban traffic flow modeling and prediction. Transp Res Part C: Emerg Technol 11(2):121\u2013135","journal-title":"Transp Res Part C: Emerg Technol"},{"key":"61_CR14","unstructured":"Syrj\u00e4rinne P, Nummenmaa J (2015) Improving usability of open public transportation data. In: Proceedings of the 22nd ITS world congress, pp 5\u20139"},{"issue":"6","key":"61_CR15","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1049\/iet-its.2014.0192","volume":"9","author":"P Syrj\u00e4rinne","year":"2015","unstructured":"Syrj\u00e4rinne P, Nummenmaa J, Thanisch P, Kerminen R, Hakulinen E (2015) Analysing traffic fluency from bus data. IET Intell Transp Syst 9(6):566\u2013572","journal-title":"IET Intell Transp Syst"},{"issue":"2","key":"61_CR16","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1007\/s00778-005-0152-x","volume":"15","author":"RH Ting","year":"2006","unstructured":"Ting RH, De Almeida T, Ding Z (2006) Modeling and querying moving objects in networks. VLDB J 15(2):165\u2013190","journal-title":"VLDB J"},{"issue":"2","key":"61_CR17","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1287\/trsc.1070.0194","volume":"41","author":"Y Wang","year":"2007","unstructured":"Wang Y, Papageorgiou M, Messmer A (2007) Real-time freeway traffic state estimation based on extended Kalman filter: a case study. Transp Sci 41(2):167\u2013181","journal-title":"Transp Sci"},{"key":"61_CR18","doi-asserted-by":"crossref","unstructured":"Wu X, Duan L, Pang T, Nummenmaa J (2016) Detection of statistically significant bus delay aggregation by spatial\u2013temporal scanning. In: Proceedings of APWeb 2016 workshops, pp 277\u2013288","DOI":"10.1007\/978-3-319-45835-9_24"},{"key":"61_CR19","doi-asserted-by":"publisher","first-page":"2920","DOI":"10.1109\/ACCESS.2016.2570021","volume":"4","author":"D Xia","year":"2016","unstructured":"Xia D, Li H, Wang B, Li Y (2016) A map reduce-based nearest neighbor approach for big-data-driven traffic flow prediction. IEEE Access 4:2920\u20132934","journal-title":"IEEE Access"},{"key":"61_CR20","doi-asserted-by":"crossref","unstructured":"Xie X, Xiong Z, Hu X, Zhou G, Ni J (2014) On massive spatial data retrieval based on spark. In: Proceedings of WAIM 2014 international workshops, pp 200\u2013208","DOI":"10.1007\/978-3-319-11538-2_19"},{"key":"61_CR21","unstructured":"Yu X, Pu KQ, Koudas N (2005) Monitoring k-nearest neighbor queries over moving objects. In: Proceedings of the 21st international conference on data engineering, pp 631\u2013642"},{"key":"61_CR22","doi-asserted-by":"crossref","unstructured":"Yuan J, Zheng Y, Zhang L, Xie X, Sun G (2011) Where to find my next passenger. In: Proceedings of the 13th international conference on ubiquitous computing, pp 109\u2013118","DOI":"10.1145\/2030112.2030128"},{"issue":"11","key":"61_CR23","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1145\/2934664","volume":"59","author":"M Zaharia","year":"2016","unstructured":"Zaharia M, Xin RS, Wendell P, Das T, Armbrust M, Dave A, Meng X, Rosen J, Venkataraman S, Franklin MJ, Ghodsi A, Gonzalez J, Shenker S, Stoica I (2016) Apache spark: a unified engine for big data processing. Commun ACM 59(11):56\u201365","journal-title":"Commun ACM"},{"key":"61_CR24","doi-asserted-by":"crossref","unstructured":"Zhang J, Zheng Y, Qi D (2017) Deep spatio-temporal residual networks for citywide crowd flows prediction. In: Proceedings of the 31st AAAI conference on artificial intelligence, pp 1655\u20131661","DOI":"10.1609\/aaai.v31i1.10735"},{"issue":"3","key":"61_CR25","first-page":"38","volume":"5","author":"Y Zheng","year":"2014","unstructured":"Zheng Y, Capra L, Wolfson O, Yang H (2014) Urban computing: concepts, methodologies, and applications. ACM Trans Intell Syst Technol 5(3):38","journal-title":"ACM Trans Intell Syst Technol"}],"container-title":["Data Science and Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s41019-018-0061-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41019-018-0061-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41019-018-0061-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T03:05:57Z","timestamp":1660619157000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s41019-018-0061-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3]]},"references-count":25,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,3]]}},"alternative-id":["61"],"URL":"https:\/\/doi.org\/10.1007\/s41019-018-0061-9","relation":{},"ISSN":["2364-1185","2364-1541"],"issn-type":[{"value":"2364-1185","type":"print"},{"value":"2364-1541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3]]},"assertion":[{"value":"6 September 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 October 2017","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 February 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 March 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}