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Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning
16 references·1 citing·24 second hop
Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning (2019)Short-term traffic flow prediction based …Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Learning Traffic as Images: A…Deep learning for short-term traffic flow prediction (2017)Deep learning for short-term …Improving Traffic Flow Prediction With Weather Information in Connected Cars: A Deep Learning Approach (2016)Improving Traffic Flow Predic…Short-term traffic flow prediction using seasonal ARIMA model with limited input data (2015)Short-term traffic flow predi…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…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…Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Adaptive Kalman filter approa…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…Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…A Bayesian Network Approach to Traffic Flow Forecasting (2006)A Bayesian Network Approach t…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…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…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Dynamic prediction of traffic…A Review of Traffic Congestion Prediction Using Artificial Intelligence (2021)A Review of Traffic Congestio…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining neural network model with seasonal time series ARIMA model (2002)Dynamic Bus Arrival Time Prediction with Artificial Neural Networks (2002)LSTM network: a deep learning approach for short‐term traffic forecast (2017)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)Short-term traffic forecasting: Where we are and where we’re going (2014)Using LSTM and GRU neural network methods for traffic flow prediction (2016)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Travel-Time Prediction With Support Vector Regression (2004)Urban Computing (2014)Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting (2007)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Decoupled dynamic spatial-temporal graph neural network for traffic forecasting (2022)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)
this work references cited by second hop

References

  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data2,259 cited
  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
  • 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 cited
  • 1984Dynamic prediction of traffic volume through Kalman filtering theory1,115 cited
  • 2017Deep learning for short-term traffic flow prediction1,060 cited
  • 2015Short-term traffic flow prediction using seasonal ARIMA model with limited input data863 cited
  • 2008Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions856 cited
  • 2010Statistical methods versus neural networks in transportation research: Differences, similarities and some insights845 cited
  • 2006A Bayesian Network Approach to Traffic Flow Forecasting803 cited
  • 2010Real-time road traffic prediction with spatio-temporal correlations674 cited
  • 2014Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification653 cited

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2003
A multivariate state space approach for urban traffic flow modeling and prediction
518 cited
  • 2001Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling468 cited
  • 2016Improving Traffic Flow Prediction With Weather Information in Connected Cars: A Deep Learning Approach376 cited
  • Cited by

    • 2021A Review of Traffic Congestion Prediction Using Artificial Intelligence334 cited