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Hybrid machine learning algorithm and statistical time series model for network-wide traffic forecast
11 references·2 citing·47 second hop
Hybrid machine learning algorithm and statistical time series model for network-wide traffic forecast (2020)Hybrid machine learning algorithm and sta…Introduction to Time Series and Forecasting (2016)Introduction to Time Series a…Traffic volume forecasting based on radial basis function neural network with the consideration of traffic flows at the adjacent intersections (2014)Traffic volume forecasting ba…Short-term traffic volume forecasting: A k-nearest neighbor approach enhanced by constrained linearly sewing principle component algorithm (2014)Short-term traffic volume for…New Bayesian combination method for short-term traffic flow forecasting (2014)New Bayesian combination meth…Dynamic data-driven local traffic state estimation and prediction (2013)Dynamic data-driven local tra…Spatio-temporal autocorrelation of road network data (2011)Spatio-temporal autocorrelati…Nonlinear Kalman Filtering Algorithms for On-Line Calibration of Dynamic Traffic Assignment Models (2007)Nonlinear Kalman Filtering Al…Chaotic analysis of traffic time series (2004)Chaotic analysis of traffic t…Short-Term Traffic Flow Prediction Using Neuro-Genetic Algorithms (2002)Short-Term Traffic Flow Predi…Introduction to Time Series and Forecasting (2002)Introduction to Time Series a…Sample Size Requirements for Estimating Pearson, Kendall and Spearman Correlations (2000)Sample Size Requirements for …A Flow Feedback Traffic Prediction Based on Visual Quantified Features (2023)A Flow Feedback Traffic Predi…Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic prediction using arti…Dynamic network models and driver information systems (1991)Estimation and Prediction of Time-Dependent Origin-Destination Flows with a Stochastic Mapping to Path Flows and Link Flows (2002)An Efficient Algorithm for Real-Time Estimation and Prediction of Dynamic OD Tables (2004)Prediction Intervals to Account for Uncertainties in Travel Time Prediction (2011)Short‐Term Traffic Speed Prediction for an Urban Corridor (2016)GE-GAN: A novel deep learning framework for road traffic state estimation (2020)Experimental Study of Real-Time Bus Arrival Time Prediction with GPS Data (1999)A Bayesian Multiple Models Combination Method for Time Series Prediction (2001)Use of sequential learning for short-term traffic flow forecasting (2001)A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting (2015)Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Spatial-Temporal Transformer Networks for Traffic Flow Forecasting (2020)Statistical significance testing and cumulative knowledge in psychology: Implications for training of researchers. 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this work references cited by second hop

References

  • 2002Introduction to Time Series and Forecasting3,934 cited
  • 2016Introduction to Time Series and Forecasting1,217 cited
  • 2000Sample Size Requirements for Estimating Pearson, Kendall and Spearman Correlations1,131 cited
  • 2014Short-term traffic volume forecasting: A k-nearest neighbor approach enhanced by constrained linearly sewing principle component algorithm189 cited
  • 2014New Bayesian combination method for short-term traffic flow forecasting187 cited
  • 2007Nonlinear Kalman Filtering Algorithms for On-Line Calibration of Dynamic Traffic Assignment Models186 cited
  • 2014Traffic volume forecasting based on radial basis function neural network with the consideration of traffic flows at the adjacent intersections173 cited
  • 2011Spatio-temporal autocorrelation of road network data169 cited
  • 2002Short-Term Traffic Flow Prediction Using Neuro-Genetic Algorithms153 cited
  • 2004Chaotic analysis of traffic time series152 cited
  • 2013Dynamic data-driven local traffic state estimation and prediction152 cited

Cited by

  • 2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities305 cited
  • 2023A Flow Feedback Traffic Prediction Based on Visual Quantified Features150 cited

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