{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T15:39:06Z","timestamp":1742917146573,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319227283"},{"type":"electronic","value":"9783319227290"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-22729-0_27","type":"book-chapter","created":{"date-parts":[[2015,8,4]],"date-time":"2015-08-04T11:40:07Z","timestamp":1438688407000},"page":"351-362","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Online Urban Mobility Detection Based on Velocity Features"],"prefix":"10.1007","author":[{"given":"Fernando","family":"Terroso-Saenz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mercedes","family":"Valdes-Vela","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio F.","family":"Skarmeta-Gomez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,8,5]]},"reference":[{"issue":"3","key":"27_CR1","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1007\/s13218-012-0215-2","volume":"26","author":"C Krner","year":"2012","unstructured":"Krner, C., May, M., Wrobel, S.: Spatiotemporal modeling and analysis-introduction and overview. KI - Knstliche Intelligenz 26(3), 215\u2013221 (2012)","journal-title":"KI - Knstliche Intelligenz"},{"key":"27_CR2","doi-asserted-by":"crossref","unstructured":"Guo, B., Yu, Z., Zhou, X., Zhang, D.: From participatory sensing to mobile crowd sensing. In: 2014 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 593\u2013598. IEEE (2014)","DOI":"10.1109\/PerComW.2014.6815273"},{"key":"27_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.pmcj.2013.06.005","volume":"12","author":"M Lin","year":"2014","unstructured":"Lin, M., Hsu, W.-J.: Mining GPS data for mobility patterns: a survey. Pervasive Mob. Comput. 12, 1\u201316 (2014)","journal-title":"Pervasive Mob. Comput."},{"key":"27_CR4","volume-title":"Big Data: Principles and Best Practices of Scalable Realtime Data Systems","author":"N Marz","year":"2015","unstructured":"Marz, N., Warren, J.: Big Data: Principles and Best Practices of Scalable Realtime Data Systems. Manning Publications Co., Shelter Island (2015)"},{"key":"27_CR5","doi-asserted-by":"crossref","unstructured":"Zhou, J., Tung, A.K., Wu, W., Ng, W.S.: A \u201csemi-lazy\u201d approach to probabilistic path prediction in dynamic environments. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, pp. 748\u2013756. ACM, New York, NY, USA (2013)","DOI":"10.1145\/2487575.2487609"},{"issue":"2","key":"27_CR6","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1080\/17489725.2013.788228","volume":"7","author":"J Krumm","year":"2013","unstructured":"Krumm, J., Gruen, R., Delling, D.: From destination prediction to route prediction. J. Location Based Serv. 7(2), 98\u2013120 (2013)","journal-title":"J. Location Based Serv."},{"key":"27_CR7","doi-asserted-by":"crossref","unstructured":"Xue, A., Zhang, R., Zheng, Y., Xie, X., Huang, J., Xu, Z.: Destination prediction by sub-trajectory synthesis and privacy protection against such prediction. In: 2013 IEEE 29th International Conference on Data Engineering (ICDE), pp. 254\u2013265, April 2013","DOI":"10.1109\/ICDE.2013.6544830"},{"key":"27_CR8","doi-asserted-by":"crossref","unstructured":"He, W., Li, D., Zhang, T., An, L., Guo, M., Chen, G.: Mining regular routes from GPS data for ridesharing recommendations. In: Proceedings of the ACM SIGKDD International Workshop on Urban Computing, UrbComp 2012, pp. 79\u201386. ACM, New York, NY, USA (2012)","DOI":"10.1145\/2346496.2346510"},{"key":"27_CR9","doi-asserted-by":"crossref","unstructured":"Krumm, J.: Real time destination prediction based on efficient routes. Technical report, SAE Technical Paper (2006)","DOI":"10.4271\/2006-01-0811"},{"issue":"7","key":"27_CR10","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1007\/s00779-009-0248-1","volume":"14","author":"J Krumm","year":"2010","unstructured":"Krumm, J.: Where will they turn: predicting turn proportions at intersections. Pers. Ubiquit. Comput. 14(7), 591\u2013599 (2010)","journal-title":"Pers. Ubiquit. Comput."},{"key":"27_CR11","doi-asserted-by":"crossref","unstructured":"Ziebart, B.D., Maas, A.L., Dey, A.K., Bagnell, J.A.: Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior. In: Proceedings of the 10th International Conference on Ubiquitous Computing, UbiComp 2008, pp. 322\u2013331. ACM, New York, NY, USA (2008)","DOI":"10.1145\/1409635.1409678"},{"key":"27_CR12","doi-asserted-by":"crossref","unstructured":"Simmons, R., Browning, B., Zhang, Y., Sadekar, V.: Learning to predict driver route and destination intent. In: Intelligent Transportation SystemsConference, ITSC 2006, pp. 127\u2013132. IEEE, September 2006","DOI":"10.1109\/ITSC.2006.1706730"},{"issue":"7","key":"27_CR13","doi-asserted-by":"publisher","first-page":"1264","DOI":"10.1016\/j.ins.2010.11.035","volume":"181","author":"L Chen","year":"2011","unstructured":"Chen, L., Lv, M., Ye, Q., Chen, G., Woodward, J.: A personal route prediction system based on trajectory data mining. Inf. Sci. 181(7), 1264\u20131284 (2011)","journal-title":"Inf. Sci."},{"key":"27_CR14","doi-asserted-by":"crossref","unstructured":"Giannotti, F., Nanni, M., Pinelli, F., Pedreschi, D.: Trajectory pattern mining. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 07, pp. 330\u2013339. ACM, New York, NY, USA (2007)","DOI":"10.1145\/1281192.1281230"},{"key":"27_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1007\/978-3-540-74553-2_44","volume-title":"Data Warehousing and Knowledge Discovery","author":"H Jeung","year":"2007","unstructured":"Jeung, H., Shen, H.T., Zhou, X.: Mining trajectory patterns using hidden Markov models. In: Song, I.-Y., Eder, J., Nguyen, T.M. (eds.) DaWaK 2007. LNCS, vol. 4654, pp. 470\u2013480. Springer, Heidelberg (2007)"},{"key":"27_CR16","doi-asserted-by":"publisher","DOI":"10.4324\/9780203471326","volume-title":"Uncertainty in Geographical Information","author":"J Zhang","year":"2002","unstructured":"Zhang, J., Goodchild, M.F.: Uncertainty in Geographical Information. CRC Press, Boca Raton (2002)"},{"key":"27_CR17","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/j.inffus.2012.08.008","volume":"21","author":"F Terroso-Saenz","year":"2015","unstructured":"Terroso-Saenz, F., Valds-Vela, M., Campuzano, F., Botia, J.A., Skarmeta-Gmez, A.F.: A complex event processing approach to perceive the vehicular context. Inf. Fusion 21, 187\u2013209 (2015)","journal-title":"Inf. Fusion"},{"issue":"2","key":"27_CR18","first-page":"32","volume":"33","author":"Y Zheng","year":"2010","unstructured":"Zheng, Y., Xie, X., Ma, W.-Y.: Geolife: a collaborative social networking service among user, location and trajectory. IEEE Data Eng. Bull. 33(2), 32\u201339 (2010)","journal-title":"IEEE Data Eng. Bull."}],"container-title":["Lecture Notes in Computer Science","Big Data Analytics and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-22729-0_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T06:27:55Z","timestamp":1676960875000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-22729-0_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319227283","9783319227290"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-22729-0_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"5 August 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}