{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T15:40:02Z","timestamp":1744731602856,"version":"3.40.4"},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642341557"},{"type":"electronic","value":"9783642341564"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-34156-4_22","type":"book-chapter","created":{"date-parts":[[2012,10,20]],"date-time":"2012-10-20T04:50:18Z","timestamp":1350708618000},"page":"230-240","source":"Crossref","is-referenced-by-count":7,"title":["Online Predictive Model for Taxi Services"],"prefix":"10.1007","author":[{"given":"Lu\u00eds","family":"Moreira-Matias","sequence":"first","affiliation":[]},{"given":"Jo\u00e3o","family":"Gama","sequence":"additional","affiliation":[]},{"given":"Michel","family":"Ferreira","sequence":"additional","affiliation":[]},{"given":"Jo\u00e3o","family":"Mendes-Moreira","sequence":"additional","affiliation":[]},{"given":"Lu\u00eds","family":"Damas","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"22_CR1","unstructured":"Glashenko, A., Ivaschenko, A., Rzevski, G., Skobelev, P.: Multiagent real time scheduling system for taxi companies. In: Proceedings of 8th Int. Conf. on Autonomous Agents and Multi-Agent Systems, Budapest, Hungary (2009)"},{"key":"22_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"660","DOI":"10.1007\/978-3-540-72590-9_96","volume-title":"Computational Science \u2013 ICCS 2007","author":"J. Lee","year":"2007","unstructured":"Lee, J., Park, G.-L., Kim, H., Yang, Y.-K., Kim, P., Kim, S.-W.: A Telematics Service System Based on the Linux Cluster. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds.) ICCS 2007, Part IV. LNCS, vol.\u00a04490, pp. 660\u2013667. Springer, Heidelberg (2007)"},{"key":"22_CR3","doi-asserted-by":"crossref","unstructured":"Junghoon, L., Inhye, S., Park, G.: Analysis of the Passenger Pick-Up Pattern for Taxi Location Recommendation. In: Conference on Networked Computing and Advanced Information Management, vol.\u00a01, pp. 199\u2013204 (2008)","DOI":"10.1109\/NCM.2008.24"},{"key":"22_CR4","doi-asserted-by":"crossref","unstructured":"Bin, L., Daqing, Z., Lin, S., Chao, C., Shijian, L., Guande, Q., Qiang, Y.: Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset. In: 2011 IEEE International Conference on Pervasive Computing and Communications Workshops, pp. 63\u201368 (2011)","DOI":"10.1109\/PERCOMW.2011.5766967"},{"key":"22_CR5","doi-asserted-by":"crossref","unstructured":"Ihler, A., Hutchins, J., Smyth, P.: Adaptive Event Detection with Time-Varying Poisson Processes. In: 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, pp. 207-216 (2006)","DOI":"10.1145\/1150402.1150428"},{"key":"22_CR6","volume-title":"Time series analysis","author":"G. Box","year":"1976","unstructured":"Box, G., Jenkins, G., Reinsel, G.: Time series analysis. Holden-day, San Francisco (1976)"},{"key":"22_CR7","doi-asserted-by":"crossref","unstructured":"Matias, L., Gama, J., Mendes-Moreira, J., Sousa, J.F.: Validation of both number and coverage of bus Schedules using AVL data. In: Proceedings of IEEE Conference on Intelligent Transportation Systems, Funchal, Portugal, pp. 131\u2013136 (2010)","DOI":"10.1109\/ITSC.2010.5625235"},{"key":"22_CR8","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.ijforecast.2003.09.015","volume":"20","author":"C. Holt","year":"2004","unstructured":"Holt, C.: Forecasting seasonals and trends by exponentially weighted moving averages. International Journal of Forecasting\u00a020, 5\u201310 (2004)","journal-title":"International Journal of Forecasting"},{"key":"22_CR9","doi-asserted-by":"publisher","first-page":"1509","DOI":"10.1080\/01621459.1970.10481180","volume":"65","author":"G. Box","year":"1970","unstructured":"Box, G., Pierce, D.: Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models. Journal of the American Statistical Association\u00a065, 1509\u20131526 (1970)","journal-title":"Journal of the American Statistical Association"},{"key":"22_CR10","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1061\/(ASCE)0733-947X(2003)129:6(664)","volume":"129","author":"B. Williams","year":"2003","unstructured":"Williams, B., Hoel, L.: Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results. Journal of Transportation Engineering\u00a0129, 664\u2013672 (2003)","journal-title":"Journal of Transportation Engineering"},{"key":"22_CR11","doi-asserted-by":"publisher","first-page":"1014","DOI":"10.1109\/TPWRS.2002.804943","volume":"18","author":"J. Contreras","year":"2003","unstructured":"Contreras, J., Espinola, R., Nogales, F.J., Conejo, A.J.: ARIMA models to predict next-day electricity prices. IEEE Transactions on Power Systems\u00a018, 1014\u20131020 (2003)","journal-title":"IEEE Transactions on Power Systems"},{"key":"22_CR12","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/S0925-2312(01)00702-0","volume":"50","author":"G.P. Zhang","year":"2003","unstructured":"Zhang, G.P.: Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing\u00a050, 159\u2013175 (2003)","journal-title":"Neurocomputing"},{"key":"22_CR13","volume-title":"Time Series Analysis with Applications in R","author":"J. Cryer","year":"2008","unstructured":"Cryer, J., Chan, K.: Time Series Analysis with Applications in R. Springer, USA (2008)"},{"key":"22_CR14","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1145\/956750.956778","volume-title":"Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","author":"H. Wang","year":"2003","unstructured":"Wang, H., Fan, W., Yu, P.S., Han, J.: Mining concept-drifting data streams using ensemble classifiers. In: Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 226\u2013235. ACM, Washington, DC (2003)"},{"key":"22_CR15","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1016\/S0169-2070(00)00057-1","volume":"16","author":"S. Makridakis","year":"2000","unstructured":"Makridakis, S., Hibon, M.: The M3-Competition: results, conclusions and implications. International Journal of Forecasting\u00a016, 451\u2013476 (2000)","journal-title":"International Journal of Forecasting"},{"key":"22_CR16","unstructured":"R Development Core Team, R: A Language and Environment for Statistical Computing, Vienna, Austria (2005)"},{"key":"22_CR17","doi-asserted-by":"crossref","unstructured":"Yeasmin, K., Hyndman, R.: Automatic Time Series Forecasting: The forecast Package for R. Journal of Statistical Software\u00a027 (2008)","DOI":"10.18637\/jss.v027.i03"}],"container-title":["Lecture Notes in Computer Science","Advances in Intelligent Data Analysis XI"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-34156-4_22.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T15:27:54Z","timestamp":1744730874000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-34156-4_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642341557","9783642341564"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-34156-4_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}