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Efficient missing data imputing for traffic flow by considering temporal and spatial dependence
16 references·3 citing·37 second hopsampled
Efficient missing data imputing for traffic flow by considering temporal and spatial dependence (2013)Efficient missing data imputing for traff…A tensor-based method for missing traffic data completion (2013)A tensor-based method for mis…The retrieval of intra-day trend and its influence on traffic prediction (2012)The retrieval of intra-day tr…Statistical methods versus neural networks in transportation research: Differences, similarities and some insights (2010)Statistical methods versus ne…Real-time road traffic prediction with spatio-temporal correlations (2010)Real-time road traffic predic…PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach (2009)PPCA-Based Missing Data Imput…A Bayesian Network Approach to Traffic Flow Forecasting (2006)A Bayesian Network Approach t…Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Optimized and meta-optimized …Accurate freeway travel time prediction with state-space neural networks under missing data (2005)Accurate freeway travel time …Short‐term traffic forecasting: Overview of objectives and methods (2004)Short‐term traffic forecastin…Estimation of missing traffic counts using factor, genetic, neural, and regression techniques (2004)Estimation of missing traffic…Forecasting Traffic Flow Conditions in an Urban Network: Comparison of Multivariate and Univariate Approaches (2003)Forecasting Traffic Flow Cond…Detecting Errors and Imputing Missing Data for Single-Loop Surveillance Systems (2003)Detecting Errors and Imputing…A multivariate state space approach for urban traffic flow modeling and prediction (2003)A multivariate state space ap…Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling (2001)Multivariate Vehicular Traffi…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC T…Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method (2018)Missing Value Imputation for …Short-Term Traffic Prediction Based on Dynamic Tensor Completion (2016)Short-Term Traffic Prediction…A hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation (2014)A hybrid approach to integrat…Combining neural network model with seasonal time series ARIMA model (2002)Dynamic Bus Arrival Time Prediction with Artificial Neural Networks (2002)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Does providing information to drivers reduce traffic congestion? (1991)Using stated preference data for studying the effect of advanced traffic information on drivers' route choice (1997)Dynamics of commuting decision behaviour under advanced traveller information systems (1999)A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system (2015)Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction (2020)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Aggregation of space-time processes (2003)Predicting Taxi–Passenger Demand Using Streaming Data (2013)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)Road Traffic Forecasting: Recent Advances and New Challenges (2018)Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning (2019)Forecasting with artificial neural networks: (1998)Statistical and Econometric Methods for Transportation Data Analysis (2003)Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Introduction to Time Series and Forecasting (2002)Traffic flow prediction using LSTM with feature enhancement (2018)DeepPF: A deep learning based architecture for metro passenger flow prediction (2019)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Exponential Smoothing with an Adaptive Response Rate (1967)The Development of a Self-Adaptive Forecasting Technique (1969)Applied Time Series Analysis for Managerial Forecasting. (1974)Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting (1999)Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting (2017)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction (2021)
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References

  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2010Statistical methods versus neural networks in transportation research: Differences, similarities and some insights845 cited
  • 2006A Bayesian Network Approach to Traffic Flow Forecasting803 cited
  • 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 cited
  • 2010Real-time road traffic prediction with spatio-temporal correlations674 cited
  • 2005Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach618 cited
  • 2004Short‐term traffic forecasting: Overview of objectives and methods599 cited
  • 2003A multivariate state space approach for urban traffic flow modeling and prediction518 cited
  • 2001Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling468 cited
  • 2005Accurate freeway travel time prediction with state-space neural networks under missing data448 cited
  • 2009PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach445 cited
  • 2013A tensor-based method for missing traffic data completion441 cited
  • 2003Forecasting Traffic Flow Conditions in an Urban Network: Comparison of Multivariate and Univariate Approaches391 cited
  • 2003Detecting Errors and Imputing Missing Data for Single-Loop Surveillance Systems

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299 cited
  • 2012The retrieval of intra-day trend and its influence on traffic prediction185 cited
  • 2004Estimation of missing traffic counts using factor, genetic, neural, and regression techniques182 cited
  • Cited by

    • 2016Short-Term Traffic Prediction Based on Dynamic Tensor Completion234 cited
    • 2014A hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation212 cited
    • 2018Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method210 cited