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Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks
16 references·4 citing·36 second hop
Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks (2020)Citywide Traffic Flow Prediction Based on…Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction (2019)Revisiting Spatial-Temporal S…Gated Residual Recurrent Graph Neural Networks for Traffic Prediction (2019)Gated Residual Recurrent Grap…The Simpler The Better (2017)The Simpler The BetterSpatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)Spatiotemporal Recurrent Conv…Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Short-term forecasting of pas…Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Learning Traffic as Images: A…Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting (2017)Deep Learning: A Generic Appr…Urban Computing (2014)Urban ComputingTravel time estimation of a path using sparse trajectories (2014)Travel time estimation of a p…Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data (2014)Traffic Flow Prediction for R…Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Short-Term Traffic Flow Forec…Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm (2011)Traffic flow forecasting by s…A Bayesian Network Approach to Traffic Flow Forecasting (2006)A Bayesian Network Approach t…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…Artificial intelligence-based traffic flow prediction: a comprehensive review (2023)Artificial intelligence-based…Traffic flow prediction models – A review of deep learning techniques (2021)Traffic flow prediction model…Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning (2021)Dynamic graph convolutional n…A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing (2021)A data aggregation based appr…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)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Forecasting with artificial neural networks: (1998)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Support Vector Machine Regression for Volatile Stock Market Prediction (2002)Travel time data collection handbook (2010)LSTM network: a deep learning approach for short‐term traffic forecast (2017)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)OpenStreetMap: User-Generated Street Maps (2008)Understanding individual human mobility patterns (2008)Bikesharing in Europe, the Americas, and Asia (2010)On the social shaping dimensions of smart sustainable cities: A study in science, technology, and society (2016)A foundational framework for smart sustainable city development: Theoretical, disciplinary, and discursive dimensions and their synergies (2017)Smart sustainable cities of the future: An extensive interdisciplinary literature review (2017)Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach (2009)Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction (2021)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)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)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)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction (2018)Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values (2020)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (2019)Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach (2018)Ridesourcing systems: A framework and review (2019)
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References

  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 2014Urban Computing1,564 cited
  • 2004Travel-Time Prediction With Support Vector Regression1,480 cited
  • 2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
  • 2019Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction921 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2006A Bayesian Network Approach to Traffic Flow Forecasting803 cited
  • 2013Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning763 cited
  • 2017Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach748 cited
  • 2017Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks623 cited
  • 2014Travel time estimation of a path using sparse trajectories538 cited
  • 2017Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting427 cited
  • 2014Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data346 cited
  • 2017The Simpler The Better

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275 cited
  • 2019Gated Residual Recurrent Graph Neural Networks for Traffic Prediction260 cited
  • 2011Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm246 cited
  • Cited by

    • 2021Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning237 cited
    • 2021Traffic flow prediction models – A review of deep learning techniques235 cited
    • 2021A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing234 cited
    • 2023Artificial intelligence-based traffic flow prediction: a comprehensive review199 cited