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         [20]     Hinsbergen CPI, Lint JWCV, Sanders FM. Short term traffic prediction models. In: Proc. of the 14th World Congress on Intelligent
             Transport Systems. 2007. 7.
         [21]     Yu J, Chang GL, Ho HW, Liu Y. Variation based online travel time prediction using clustered neural networks. In: Proc. of the
             IEEE Int’l Conf. on Intelligent Transportation Systems. 2008. 85−90.
         [22]     Fei X, Lu CC, Liu K. A Bayesian dynamic  linear model approach  for  real-time short-term  freeway  travel  time prediction.
             Transportation Research Part C, 2011,19(6):1306−1318.
         [23]     Oh S, Byon YJ, Jang K, Yeo H. Short-Term travel-time prediction on highway: A review of the data-driven approach. Transport
             Reviews, 2015,35(1):4−32.
         [24]     J Kwon J, Coifman B, Bickel P. Day-to-Day traveltime trends and travel-time prediction from LoopDetector data. Transportation
             Research Record: Journal of the Transportation Research Board, 2000,1717:120−129. [doi: 10.3141/1717-15]
         [25]     Box GEP, Jenkins GM. Time series analysis, forecasting and control. Journal of the American Statistical Association, 1971,134(3):
             343−344.
         [26]     Okutani I, Stephanedes YJ. Dynamic prediction of traffic volume through Kalman filtering theory. Transportation Research Part B:
             Methodological, 1984,18(1):1−11.
         [27]     Rumelhart DE, Hinton GE, Williams RJ. Learning representations by back-propagating errors. Nature, 1986,323(6088):399−421.
         [28]     Yandell, Brian S. Spline smoothing and nonparametric regression. Technometrics, 1989,31(3):379−380.
         [29]     Bai MT, Lin YX, Ma M, Wang P. Travel-Time prediction methods: A review. In: Proc. of the 3rd Int’l Conf. on SmartCom 2018.
             2018. 67−77. [doi: 10.1007/978-3-030-05755-8_7]
         [30]     Hopfield JJ. Neural networks and physical systems with emergent collective computational abilities. Proc. of the National Academy
             of Sciences of the United States of America, 1982,79(8):2554−2558.
         [31]     Hochreiter S, Schmidhuber J.  LSTM  can solve hard long  term lag problems.  In: Proc.  of the Neural Information Processing
             Systems Nips. 1997. 9.
         [32]     Van Lint J, Hoogendoorn S, Van Zuylen H. Freeway travel time prediction with state-space neural networks: Modeling state-space
             dynamics with  recurrent  neural  networks.  Transportation Research Record  Journal  of the Transportation Research Board,
             2002,1811:30−39.
         [33]     Thissen  U,  Brakel  RV, Weijer APD,  Melssen  WJ,  Buydens  LMC. Using support vector  machines for time series prediction.
             Chemometrics and Intelligent Laboratory Systems, 2003,69(1-2):35−49.
         [34]     Müller KR, Smola AJ, Rätsch G, Schölkopf B, Kohlmorgen J, Vapnik V. Predicting time series with support vector machines.
             LNCS, 1997,20(2):999−1004.
         [35]     Kachroo P, Ozbay K, Hobeika AG. Real-Time travel time estimation using macroscopic traffic flow models. In: Proc. of the IEEE
             Intelligent Transportation Systems. 2001. 132−137.
         [36]     Xu  T,  Hao  Y, Sun L.  Travel time  prediction of urban expressway in  unstable traffic flow. In: Proc. of the Int’l  Conf. on
             Transportation Engineering. 2007. 2205−2210.
         [37]     Skabardonis A, Geroliminis N. Real-Time estimation of travel times along signalized arterials. In: Proc. of the Transportation and
             Traffic Theory. 2005. [doi: 10.1016/b978-008044680-6/50022-2]
         [38]     Ben-Akiva M, Bierlaire M, Burton D, Koutsopoulos HN, Mishalani R. Network state estimation and prediction for real-time traffic
             management. Networks and Spatial Economics, 2001,1(3-4):293−318.
         [39]     Daganzo CF. The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory.
             Transportation Research, Part B (Methodological), 1994,28(4):269−287.
         [40]     Daganzo CF. A continuum theory  of  traffic  dynamics  for freeways with special  lanes. Transportation Research  Part  B
             (Methodological), 1997,31(2):83−102.
         [41]     Daganzo CF. An Enhanced Cell-Transmission Rule for Traffic Simulation. 1997.
         [42]     Tampere CMJ,  Immers B. Traffic  State Estimation and  Prediction  Using the Cell Transmission  Model with  Implicit Mode
             Switching and Dynamic Parameters. 2007.
         [43]     Juri NR, Unnikrishnan A, Waller ST. Integrated traffic simulation-statistical analysis framework for online prediction of freeway
             travel time. Transportation Research Record Journal of the Transportation Research Board, 2007,2039:24−31.
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