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Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method
13 references·0 citing·38 second hop
Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method (2016)Traffic Speed Prediction and Congestion S…Latent Space Model for Road Networks to Predict Time-Varying Traffic (2016)Latent Space Model for Road N…Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory (2015)Large-Scale Transportation Ne…Travel time estimation of a path using sparse trajectories (2014)Travel time estimation of a p…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Deep Architecture for Traffic…A balanced decomposition approach to real-time visualization of large vector maps in CyberGIS (2014)A balanced decomposition appr…Time Series Forecasting Using Distribution Enhanced Linear Regression (2013)Time Series Forecasting Using…Supervised Weighting-Online Learning Algorithm for Short-Term Traffic Flow Prediction (2013)Supervised Weighting-Online L…POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction (2006)POP-TRAFFIC: A Novel Fuzzy Ne…Travel-Time Prediction With Support Vector Regression (2004)Travel-Time Prediction With S…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…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…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Exponential smoothing: The state of the art (1985)Introduction to Time Series and Forecasting (2002)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis (2020)Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks (2021)A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting (2023)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Understanding Road Usage Patterns in Urban Areas (2012)A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting (2015)An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic (2017)A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data (2020)Support Vector Machine Regression for Volatile Stock Market Prediction (2002)Travel time data collection handbook (2010)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Organisation behaviour (1975)Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm (2011)Short-term traffic forecasting: Where we are and where we’re going (2014)Deep learning for short-term traffic flow prediction (2017)Understanding transportation modes based on GPS data for web applications (2010)T-share: A large-scale dynamic taxi ridesharing service (2013)Urban Computing (2014)Ridesourcing systems: A framework and review (2019)A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021)Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting (2007)Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)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)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)
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References

  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 2004Travel-Time Prediction With Support Vector Regression1,480 cited
  • 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 cited
  • 2014Travel time estimation of a path using sparse trajectories538 cited
  • 2015Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory508 cited
  • 2013Supervised Weighting-Online Learning Algorithm for Short-Term Traffic Flow Prediction336 cited
  • 2006POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction199 cited
  • 2016Latent Space Model for Road Networks to Predict Time-Varying Traffic179 cited
  • 2013Time Series Forecasting Using Distribution Enhanced Linear Regression44 cited
  • 2014A balanced decomposition approach to real-time visualization of large vector maps in CyberGIS8 cited

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