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Estimation of missing traffic counts using factor, genetic, neural, and regression techniques
6 references·10 citing·40 second hop
Estimation of missing traffic counts using factor, genetic, neural, and regression techniques (2004)Estimation of missing traffic counts usin…Time Series Prediction With Genetic‐Algorithm Designed Neural Networks: An Empirical Comparison With Modern Statistical Models (1999)Time Series Prediction With G…Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models (1998)Urban Freeway Traffic Flow Pr…IMPROVED METHOD OF GROUPING PROVINCEWIDE PERMANENT TRAFFIC COUNTERS (1981)IMPROVED METHOD OF GROUPING P…ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC T…Book Review: Time Series Analysis: Forecasting and Control (1977)Book Review: Time Series Anal…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis Forecast…Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges (2019)Deep learning models for traf…Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method (2018)Missing Value Imputation for …Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks (2016)Matrix and Tensor Based Metho…An efficient realization of deep learning for traffic data imputation (2016)An efficient realization of d…Tensor based missing traffic data completion with spatial–temporal correlation (2015)Tensor based missing traffic …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…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…Efficient missing data imputing for traffic flow by considering temporal and spatial dependence (2013)Efficient missing data imputi…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…Problems in Measuring Change (1965)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Statistical methods versus neural networks in transportation research: Differences, similarities and some insights (2010)Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data (2014)A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation (2018)Combining kohonen maps with arima time series models to forecast traffic flow (1996)A Bayesian Network Approach to Traffic Flow Forecasting (2006)Short-Term Traffic Prediction Based on Dynamic Tensor Completion (2016)Introduction to Time Series and Forecasting (1996)Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting (1999)Introduction to Time Series and Forecasting (2002)Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach (2006)Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Time Series Analysis, Forecasting and Control. (1971)Traffic flow prediction based on combination of support vector machine and data denoising schemes (2019)Accurate freeway travel time prediction with state-space neural networks under missing data (2005)PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach (2009)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)A novel passenger flow prediction model using deep learning methods (2017)The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm (2019)On the First Law of Geography: A Reply (2004)A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting (2015)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit (2020)Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method (2021)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)FedSTN: Graph Representation Driven Federated Learning for Edge Computing Enabled Urban Traffic Flow Prediction (2022)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Comprehensive systematic review of information fusion methods in smart cities and urban environments (2024)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)Short‐term traffic forecasting: Overview of objectives and methods (2004)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)Tie Series Analysis, Forecasting, and Control (1995)Unit root tests in panel data: asymptotic and finite-sample properties (2002)
this work references cited by second hop

References

  • 1977Book Review: Time Series Analysis: Forecasting and Control19,399 cited
  • 1971Time Series Analysis Forecasting and Control.6,904 cited
  • 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 cited
  • 1998Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models524 cited
  • 1999Time Series Prediction With Genetic‐Algorithm Designed Neural Networks: An Empirical Comparison With Modern Statistical Models136 cited
  • 1981IMPROVED METHOD OF GROUPING PROVINCEWIDE PERMANENT TRAFFIC COUNTERS63 cited

Cited by

  • 2013A tensor-based method for missing traffic data completion441 cited
  • 2016An efficient realization of deep learning for traffic data imputation320 cited
  • 2019Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges306 cited
  • 2013Efficient missing data imputing for traffic flow by considering temporal and spatial dependence304 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
  • 2012The retrieval of intra-day trend and its influence on traffic prediction185 cited

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  • 2014Traffic volume forecasting based on radial basis function neural network with the consideration of traffic flows at the adjacent intersections175 cited
  • 2016Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks160 cited
  • 2015Tensor based missing traffic data completion with spatial–temporal correlation154 cited