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Detecting Errors and Imputing Missing Data for Single-Loop Surveillance Systems
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Detecting Errors and Imputing Missing Data for Single-Loop Surveillance Systems (2003)Detecting Errors and Imputing Missing Dat…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…Missing traffic data: comparison of imputation methods (2013)Missing traffic data: compari…Efficient missing data imputing for traffic flow by considering temporal and spatial dependence (2013)Efficient missing data imputi…The retrieval of intra-day trend and its influence on traffic prediction (2012)The retrieval of intra-day tr…Assessing the Impact of Weather on Traffic Intensity (2009)Assessing the Impact of Weath…10.1007/978-1-4899-4485-6 (2000)Introduction to Time Series and Forecasting (2002)Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)An efficient realization of deep learning for traffic data imputation (2016)Short-Term Traffic Prediction Based on Dynamic Tensor Completion (2016)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)Statistical methods versus neural networks in transportation research: Differences, similarities and some insights (2010)Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method (2018)Time Series Analysis, Forecasting and Control. (1971)Book Review: Time Series Analysis: Forecasting and Control (1977)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Traffic flow prediction based on combination of support vector machine and data denoising schemes (2019)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Short-term traffic forecasting: Where we are and where we’re going (2014)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Using LSTM and GRU neural network methods for traffic flow prediction (2016)Applied Linear Statistical Models. (1975)The effect of weather and climate on bicycle commuting (1999)Impact of Weather on Transit Ridership in Chicago, Illinois (2007)Changes in Travel Behavior in Response to Weather Conditions (2010)Impact of weather on urban transit ridership (2014)Traffic Flow Prediction with Rainfall Impact Using a Deep Learning Method (2017)
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  • 2013Efficient missing data imputing for traffic flow by considering temporal and spatial dependence304 cited
  • 2009Assessing the Impact of Weather on Traffic Intensity243 cited
  • 2014A hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation212 cited
  • 2013Missing traffic data: comparison of imputation methods192 cited
  • 2012The retrieval of intra-day trend and its influence on traffic prediction185 cited

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