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@article{bb195201,
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@article{bb195202,
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@article{bb195203,
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systemoriented approach based on past experiences",
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@article{bb195204,
        AUTHOR = "Chen, C. and Liu, Z. and Lin, W.H. and Li, S. and Wang, K.",
        TITLE = "Distributed Modeling in a MapReduce Framework for Data-Driven Traffic
Flow Forecasting",
        JOURNAL = ITS,
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        PAGES = "22-33",
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@article{bb195205,
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        TITLE = "UTN-Model-Based Traffic Flow Prediction for Parallel-Transportation
Management Systems",
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        YEAR = "2013",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f724tfpre2.html#TT190606"}

@article{bb195206,
        AUTHOR = "Xu, Y.Y. and Kong, Q.J. and Klette, R. and Liu, Y.C.",
        TITLE = "Accurate and Interpretable Bayesian MARS for Traffic Flow Prediction",
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@article{bb195207,
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        TITLE = "Prediction of Traffic Flow at the Boundary of a Motorway Network",
        JOURNAL = ITS,
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        YEAR = "2014",
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@article{bb195208,
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        TITLE = "Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction",
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@article{bb195209,
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        TITLE = "General Behavior Prediction by a Combination of Scenario-Specific
Models",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f724tfpre2.html#TT190610"}

@article{bb195210,
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        TITLE = "Modeling and Forecasting the Urban Volume Using Stochastic
Differential Equations",
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@article{bb195211,
        AUTHOR = "Lopes, S.B. and Brondino, N.C.M. and Rodrigues da Silva, A.N.",
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Spatial Regression Models for Transportation Demand Forecast",
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@article{bb195212,
        AUTHOR = "Hou, Y. and Edara, P. and Sun, C.",
        TITLE = "Traffic Flow Forecasting for Urban Work Zones",
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@article{bb195213,
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        TITLE = "Traffic Flow Prediction for Road Transportation Networks With Limited
Traffic Data",
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@article{bb195214,
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        TITLE = "Traffic Flow Prediction With Big Data: A Deep Learning Approach",
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@article{bb195215,
        AUTHOR = "Du, W.B. and Chen, S.W. and Li, H.T. and Li, Z.S. and Cao, X.B. and Lv, Y.S.",
        TITLE = "Airport Capacity Prediction With Multisource Features:
A Temporal Deep Learning Approach",
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@article{bb195216,
        AUTHOR = "Chen, Y. and Lv, Y. and Wang, X. and Li, L. and Wang, F.",
        TITLE = "Detecting Traffic Information From Social Media Texts With Deep
Learning Approaches",
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@article{bb195217,
        AUTHOR = "Oh, S.D. and Kim, Y.J. and Hong, J.S.",
        TITLE = "Urban Traffic Flow Prediction System Using a Multifactor Pattern
Recognition Model",
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@article{bb195218,
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        TITLE = "Time-Aware Multivariate Nearest Neighbor Regression Methods for
Traffic Flow Prediction",
        JOURNAL = ITS,
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        YEAR = "2015",
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        MONTH = "December",
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@article{bb195219,
        AUTHOR = "Oh, S. and Byon, Y.J. and Yeo, H.",
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Traffic State Prediction",
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@article{bb195220,
        AUTHOR = "Hou, Z. and Li, X.",
        TITLE = "Repeatability and Similarity of Freeway Traffic Flow and Long-Term
Prediction Under Big Data",
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@article{bb195221,
        AUTHOR = "Zhao, J. and Sun, S.",
        TITLE = "High-Order Gaussian Process Dynamical Models for Traffic Flow
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        YEAR = "2016",
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@article{bb195222,
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@article{bb195224,
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Patterns and Motion Behaviors",
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@article{bb195225,
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algorithm",
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@article{bb195226,
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        TITLE = "Combining weather condition data to predict traffic flow:
A GRU-based deep learning approach",
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@article{bb195227,
        AUTHOR = "Besse, P.C. and Guillouet, B. and Loubes, J.M. and Royer, F.",
        TITLE = "Destination Prediction by Trajectory Distribution-Based Model",
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@article{bb195228,
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        TITLE = "Real-Time Prediction of Seasonal Heteroscedasticity in Vehicular
Traffic Flow Series",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f724tfpre2.html#TT190629"}

@article{bb195229,
        AUTHOR = "Maeda, T.N. and Mori, J. and Ochi, M. and Sakimoto, T. and Sakata, I.",
        TITLE = "Measurement of Opportunity Cost of Travel Time for Predicting Future
Residential Mobility Based on the Smart Card Data of Public
Transportation",
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@article{bb195230,
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        TITLE = "Consensus Ensemble System for Traffic Flow Prediction",
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        NUMBER = "12",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f724tfpre2.html#TT190631"}

@article{bb195231,
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        TITLE = "Multi Long-Short Term Memory Models for Short Term Traffic Flow
Prediction",
        JOURNAL = IEICE,
        VOLUME = "E101-D",
        YEAR = "2018",
        NUMBER = "12",
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        PAGES = "3272-3275",
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@article{bb195233,
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Traffic Flow Forecasting",
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@article{bb195234,
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its Implementation in Assessing the Impact of Heavy Vehicles",
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@article{bb195235,
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Traffic Data",
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@article{bb195236,
        AUTHOR = "Pamula, T.",
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Using Neural Networks",
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@article{bb195237,
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        TITLE = "Projected state-wide traffic forecast parameters using artificial
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@article{bb195238,
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        TITLE = "Adaptive Rolling Smoothing With Heterogeneous Data for Traffic State
Estimation and Prediction",
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@article{bb195239,
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@article{bb195240,
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        TITLE = "Prediction of traffic volume by mining traffic sequences using travel
time based PrefixSpan",
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        YEAR = "2019",
        NUMBER = "8",
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@article{bb195248,
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at Different Penetration Levels",
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