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Survey on traffic prediction in smart cities
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Survey on traffic prediction in smart cities (2018)Survey on traffic prediction in smart cit…Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)Spatiotemporal Recurrent Conv…Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Learning Traffic as Images: A…Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Diffusion Convolutional Recur…Deep learning for short-term traffic flow prediction (2017)Deep learning for short-term …Using LSTM and GRU neural network methods for traffic flow prediction (2016)Using LSTM and GRU neural net…DNN-based prediction model for spatio-temporal data (2016)DNN-based prediction model fo…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Adaptive Kalman filter approa…Driving with knowledge from the physical world (2011)Driving with knowledge from t…Real-time road traffic prediction with spatio-temporal correlations (2010)Real-time road traffic predic…The scaling laws of human travel (2006)The scaling laws of human tra…A Bayesian Network Approach to Traffic Flow Forecasting (2006)A Bayesian Network Approach t…Short‐term traffic forecasting: Overview of objectives and methods (2004)Short‐term traffic forecastin…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Comparison of parametric and …Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic prediction using arti…KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting (2022)KST-GCN: A Knowledge-Driven S…FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting (2021)FASTGNN: A Topological Inform…Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction (2020)Physical-Virtual Collaboratio…SDN-based real-time urban traffic analysis in VANET environment (2019)SDN-based real-time urban tra…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)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)A Theoretical Perspective (2000)L�vy walk patterns in the foraging movements of spider monkeys (Ateles geoffroyi) (2004)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment (2009)Uncovering cabdrivers’ behavior patterns from their digital traces (2010)Discovering regions of different functions in a city using human mobility and POIs (2012)Urban Computing (2014)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Travel-Time Prediction With Support Vector Regression (2004)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)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)
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References

  • 2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 cited
  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2006The scaling laws of human travel2,224 cited
  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 2016Using LSTM and GRU neural network methods for traffic flow prediction1,593 cited
  • 2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
  • 2017Deep learning for short-term traffic flow prediction1,060 cited
  • 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 cited
  • 2011Driving with knowledge from the physical world886 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2006A Bayesian Network Approach to Traffic Flow Forecasting803 cited
  • 2016DNN-based prediction model for spatio-temporal data739 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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  • 2017Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks623 cited
  • 2004Short‐term traffic forecasting: Overview of objectives and methods599 cited
  • Cited by

    • 2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities305 cited
    • 2022KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting208 cited
    • 2021FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting202 cited
    • 2020Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction199 cited
    • 2019SDN-based real-time urban traffic analysis in VANET environment172 cited