{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T21:05:00Z","timestamp":1648847100060},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2007,5,1]],"date-time":"2007-05-01T00:00:00Z","timestamp":1177977600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Oper Res Int J"],"published-print":{"date-parts":[[2007,5]]},"DOI":"10.1007\/bf02942386","type":"journal-article","created":{"date-parts":[[2008,9,3]],"date-time":"2008-09-03T04:12:48Z","timestamp":1220415168000},"page":"171-184","source":"Crossref","is-referenced-by-count":5,"title":["Prediction of non-recurrent short-term traffic patterns using genetically optimized probabilistic neural networks"],"prefix":"10.1007","volume":"7","author":[{"given":"Eleni I.","family":"Vlahogianni","sequence":"first","affiliation":[]}],"member":"297","reference":[{"issue":"6","key":"BF02942386_CR1","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1061\/(ASCE)0733-947X(2000)126:6(464)","volume":"126","author":"H. Adeli","year":"2000","unstructured":"Adeli, H., and Karim, A. (2000). A fuzzy-wavelet RBFNN model for freeway incident detection. J. Transp. Eng., 126(6), 464\u2013471.","journal-title":"J. Transp. Eng."},{"key":"BF02942386_CR2","unstructured":"Dia, H., and Rose, G. (1997) Development and evaluation of neural network freeway incident detection models using field data.\u201d Transp. Res., Part C, 5, 5, 313\u2013331."},{"issue":"2","key":"BF02942386_CR3","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/0967-0661(95)00221-9","volume":"4","author":"L. Florio","year":"1996","unstructured":"Florio, L., and Mussone, L., (1996). Neural-network models for classification and forecasting of freeway traffic flow stability, Control Engineering Practice, 4, 2, 153\u2013164.","journal-title":"Control Engineering Practice"},{"issue":"2","key":"BF02942386_CR4","doi-asserted-by":"crossref","first-page":"1134","DOI":"10.1103\/PhysRevA.33.1134","volume":"33","author":"A. M. Fraser","year":"1986","unstructured":"Fraser, A. M., and Swinney, H. L., (1986). Independent coordinates for strange attractors from mutual information, Physical Review A, 33 (2), 1134\u20131140.","journal-title":"Physical Review A"},{"key":"BF02942386_CR5","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/S0375-9601(00)00304-2","volume":"270","author":"J. Gao","year":"2000","unstructured":"Gao, J. and Cai, H, (2000). On the structures and quantification of recurrence plots, Physics Letters A, 270, 75\u201387.","journal-title":"Physics Letters A"},{"key":"BF02942386_CR6","unstructured":"Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, ISBN: 0201157675."},{"key":"BF02942386_CR7","first-page":"56","volume-title":"Transp. Res. Rec.","author":"S. S. Ishak","year":"1998","unstructured":"Ishak, S. S., and Al-Deek, H. M. (1998). \u2018Fuzzy ART neural network model for automated detection of freeway incidents., Transp. Res. Rec., 1634, Transportation Research Board, Washington, D.C., 56\u201363."},{"issue":"10","key":"BF02942386_CR8","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1061\/(ASCE)0733-947X(2005)131:10(771)","volume":"13","author":"X. Jiang","year":"2005","unstructured":"Jiang, X., and Adeli, H. (2005). Dynamic Wavelet Neural Network Model for Traffic Flow Forecasting, Journal of Transportation Engineering, 13(10), 771\u2013779.","journal-title":"Journal of Transportation Engineering"},{"key":"BF02942386_CR9","doi-asserted-by":"crossref","unstructured":"Juan, Z., Wang, X. and Piao, J., (2004). Study on Traffic Flow Breakdown with Nonlinear Statistical Theory of Change-Point, In: Proceedings of the Eighth International Conference, May 26\u201328, Beijing, China, 578\u2013583.","DOI":"10.1061\/40730(144)107"},{"key":"BF02942386_CR10","unstructured":"Kantz, H., and Schreiber, T. (1997). Non-linear time series analysis. Cambridge Non-linear Science: Series 7, Cambridge University Press."},{"key":"BF02942386_CR11","doi-asserted-by":"crossref","first-page":"3403","DOI":"10.1103\/PhysRevA.45.3403","volume":"45","author":"M. B. Kennel","year":"1992","unstructured":"Kennel, M. B., Brown R., Abarbanel, H. D. I., (1992). Determining embedding dimension for phase-space reconstruction using a geometrical construction, Physics Reviews A, 45, 3403.","journal-title":"Physics Reviews A"},{"key":"BF02942386_CR12","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1016\/j.physa.2003.10.017","volume":"333","author":"B. S. Kerner","year":"2004","unstructured":"Kerner, B. S. (2004). Three-phase traffic theory and highway capacity, Physica A, 333, 379\u2013440.","journal-title":"Physica A"},{"issue":"9","key":"BF02942386_CR13","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/S0895-7177(98)00049-1","volume":"27","author":"C.-K. Lin","year":"1998","unstructured":"Lin, C.-K., and Chang, G.-L. (1998). Development of a fuzzy-expert system for incident detection and classification, Math. Comput. Modell., 27, 9, 11, 9\u201325.","journal-title":"Math. Comput. Modell."},{"issue":"5\u20136","key":"BF02942386_CR14","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/S0375-9601(02)01170-2","volume":"302","author":"N. Kurths J. Marwan","year":"2002","unstructured":"Marwan, N. Kurths J. (2002). Nonlinear analysis of bivariate data with cross recurrence plots, Physics Letters A, 302(5\u20136), 299\u2013307.","journal-title":"Physics Letters A"},{"key":"BF02942386_CR15","unstructured":"Principe, J. C., Euliano N. R., Lefebvre C. W., (1999). Neural And Adaptive Systems: Fundamentals Through Simulations. John Wiley and Sons, Inc."},{"key":"BF02942386_CR16","doi-asserted-by":"crossref","unstructured":"Roy, P. and Abdulhai, B., (2003). GAID: Genetic Adaptive Incident Detection for Freeways, Transportation Research Record, 1856, 96","DOI":"10.3141\/1856-10"},{"key":"BF02942386_CR17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0370-1573(98)00035-0","volume":"308","author":"T. Schreiber","year":"1999","unstructured":"Schreiber, T., (1999). Interdisciplinary application of nonlinear time series methods, Physics Reports 308, 1.","journal-title":"Physics Reports"},{"issue":"1","key":"BF02942386_CR18","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.chaos.2004.09.104","volume":"25","author":"P. Shang","year":"2005","unstructured":"Shang, P., Li, X. and Kamae, S., (2005). Chaotic analysis of traffic time series, Chaos, Solitons & Fractals, 25, 1, 121\u2013128.","journal-title":"Chaos, Solitons & Fractals"},{"issue":"4","key":"BF02942386_CR19","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/S0968-090X(02)00009-8","volume":"10","author":"B. L. Smith","year":"2002","unstructured":"Smith, B. L., Williams, B. M., and Oswald, K. R. (2002). Comparison of parametric and non-parametric models for traffic flow forecasting, Transportation Research Part C: Emerging Technologies, 10(4), 303\u2013321.","journal-title":"Transportation Research Part C: Emerging Technologies"},{"key":"BF02942386_CR20","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/0893-6080(90)90049-Q","volume":"3","author":"D. Specht","year":"1990","unstructured":"Specht, D., (1990). Probabilistic neural networks, Neural Networks, 3, 109\u2013118.","journal-title":"Neural Networks"},{"issue":"2","key":"BF02942386_CR21","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/S0968-090X(03)00004-4","volume":"11","author":"A. Stathopoulos","year":"2003","unstructured":"Stathopoulos, A., and Karlaftis, M. G. (2003). A multivariate state-space approach for urban traffic flow modeling and prediction, Transportation Research Part C, 11 (2), 121\u2013135.","journal-title":"Transportation Research Part C"},{"key":"BF02942386_CR22","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/S0968-090X(03)00021-4","volume":"11","author":"H. Teng","year":"2003","unstructured":"Teng, H. and Qi, Y., (2003). Application of wavelet technique to freeway incident detection, Transportation Research Part C 11, 289\u2013308.","journal-title":"Transportation Research Part C"},{"issue":"6","key":"BF02942386_CR23","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1061\/(ASCE)0733-947X(2006)132:6(469)","volume":"132","author":"R., E. Turochy","year":"2006","unstructured":"Turochy, R., E., (2006). Enhancing Short-Term Traffic Forecasting with Traffic Condition Information, Journal of Transportation Engineering, 132, 6, 469\u2013474.","journal-title":"Journal of Transportation Engineering"},{"issue":"5","key":"BF02942386_CR24","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1080\/0144164042000195072","volume":"24","author":"E. I. Vlahogianni","year":"2004","unstructured":"Vlahogianni, E. I., Golias, J. C, Karlaftis, M. G. (2004). Short-term Traffic Forecasting: Overview of Objectives and Methods, Transport Reviews, 24(5), 533\u2013557.","journal-title":"Transport Reviews"},{"issue":"3","key":"BF02942386_CR25","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.trc.2005.04.007","volume":"13","author":"E. I. Vlahogianni","year":"2005","unstructured":"Vlahogianni, E. I., Kalaftis, M. G., and Golias, J. C. (2005). Optimized and Meta-Optimized Neural Networks for Short-Term Traffic Flow Modeling: A Genetic Approach, Transportation Research Part C: Emerging Technologies, 13, 3, 211\u2013234.","journal-title":"Transportation Research Part C: Emerging Technologies"},{"key":"BF02942386_CR26","doi-asserted-by":"crossref","unstructured":"Vlahogianni, E. I., Karlaftis, M., G. and Golias, J. C. (2006). Statistical Methods for Detecting Nonlinearity and Non-Stationarity in Univariate Short-term Time-series of Traffic Volume, Transportation Research Part C, in press.","DOI":"10.1016\/j.trc.2006.09.002"},{"issue":"76","key":"BF02942386_CR27","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1152\/jappl.1994.76.2.965","volume":"76","author":"C. L. Webber","year":"1994","unstructured":"Webber Jr. C. L., and Zbilut J. P., (1994). Dynamical assessment of physiological systems and states using recurrence plot strategies, Applied Physiology, 76, 76 965.","journal-title":"Applied Physiology"},{"key":"BF02942386_CR28","volume-title":"Tutorials in contemporary nonlinear methods for the behavioral sciences","author":"C. L. Webber","year":"2005","unstructured":"Webber, C. L., Jr., Zbilut, J. P. (2005). Recurrence quantification analysis of nonlinear dynamical systems. Chapter 2, In: Tutorials in contemporary nonlinear methods for the behavioral sciences, The National Science Foundation, 4201 Wilson Boulevard, Arlington, Virginia 22230, USA."},{"key":"BF02942386_CR29","doi-asserted-by":"crossref","unstructured":"Zbilut, J., P., Hu, Z., Giuliani, A., Webber, Ch., L., (2000). Singularities of the Heart Beat as Demonstrated by Recurrence Quantification Analysis, Proceedings of the 22\u2033d Annual EMBS International Conference, July 23\u201328, Chicago IL.","DOI":"10.1109\/IEMBS.2000.901283"},{"issue":"1\u20132","key":"BF02942386_CR30","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/S0375-9601(98)00457-5","volume":"246","author":"P. Zbilut","year":"1998","unstructured":"Zbilut, P., Giuliani, A. Webber, C. L. Jr. (1998). Detecting deterministic signals in exceptionally noisy environments using cross-recurrence quantification, Physics Letters A, 246 (1\u20132), 122\u2013128.","journal-title":"Physics Letters A"}],"container-title":["Operational Research"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/BF02942386.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/BF02942386\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/BF02942386","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,21]],"date-time":"2019-05-21T16:01:16Z","timestamp":1558454476000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/BF02942386"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,5]]},"references-count":30,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2007,5]]}},"alternative-id":["BF02942386"],"URL":"https:\/\/doi.org\/10.1007\/bf02942386","relation":{},"ISSN":["1109-2858","1866-1505"],"issn-type":[{"value":"1109-2858","type":"print"},{"value":"1866-1505","type":"electronic"}],"subject":[],"published":{"date-parts":[[2007,5]]}}}