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Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction
16 references·7 citing·33 second hop
Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction (2014)Spatiotemporal Patterns in Large-Scale Tr…Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Short-Term Traffic Flow Forec…Simulation-based dynamic traffic assignment for short-term planning applications (2010)Simulation-based dynamic traf…Real-time road traffic prediction with spatio-temporal correlations (2010)Real-time road traffic predic…Bayesian committee of neural networks to predict travel times with confidence intervals (2009)Bayesian committee of neural …Low-mobility: The future of transport (2008)Low-mobility: The future of t…POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction (2006)POP-TRAFFIC: A Novel Fuzzy Ne…Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Optimized and meta-optimized …Dynamic Wavelet Neural Network Model for Traffic Flow Forecasting (2005)Dynamic Wavelet Neural Networ…Travel-Time Prediction With Support Vector Regression (2004)Travel-Time Prediction With S…A comparison of the performance of artificial. neural networks and support vector machines for the prediction of traffic speed (2004)A comparison of the performan…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 …Use of sequential learning for short-term traffic flow forecasting (2001)Use of sequential learning fo…Forecasting Freeway Link Travel Times with a Multilayer Feedforward Neural Network (1999)Forecasting Freeway Link Trav…Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models (1998)Urban Freeway Traffic Flow Pr…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…Traffic speed prediction for urban transportation network: A path based deep learning approach (2019)Traffic speed prediction for …Traffic flow prediction based on combination of support vector machine and data denoising schemes (2019)Traffic flow prediction based…Nei-TTE: Intelligent Traffic Time Estimation Based on Fine-Grained Time Derivation of Road Segments for Smart City (2019)Nei-TTE: Intelligent Traffic …DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision (2018)DeepTravel: a Neural Network …Deep Sequence Learning with Auxiliary Information for Traffic Prediction (2018)Deep Sequence Learning with A…A Deep Learning Approach to the Citywide Traffic Accident Risk Prediction (2018)A Deep Learning Approach to t…Taxi Dispatch With Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach (2016)Taxi Dispatch With Real-Time …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)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)Aggregation of space-time processes (2003)Predicting Taxi–Passenger Demand Using Streaming Data (2013)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Introduction to Time Series and Forecasting (1996)Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting (1999)Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach (2006)Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control. (1978)Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition (2007)Supervised Weighting-Online Learning Algorithm for Short-Term Traffic Flow Prediction (2013)Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges (2019)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)Statistical and Econometric Methods for Transportation Data Analysis (2003)Time Series Analysis: Forecasting and Control (1977)Dynamic Bus Arrival Time Prediction with Artificial Neural Networks (2002)Freeway Travel Time Prediction with State-Space Neural Networks: Modeling State-Space Dynamics with Recurrent Neural Networks (2002)Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction (2020)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)
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References

  • 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
  • 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2013Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning763 cited
  • 2010Real-time road traffic prediction with spatio-temporal correlations674 cited
  • 2005Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach618 cited
  • 1998Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models524 cited
  • 2005Dynamic Wavelet Neural Network Model for Traffic Flow Forecasting367 cited
  • 1999Forecasting Freeway Link Travel Times with a Multilayer Feedforward Neural Network345 cited
  • 2001Use of sequential learning for short-term traffic flow forecasting201 cited
  • 2006POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction199 cited
  • 2004A comparison of the performance of artificial. neural networks and support vector machines for the prediction of traffic speed166 cited

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2009
Bayesian committee of neural networks to predict travel times with confidence intervals
150 cited
  • 2008Low-mobility: The future of transport122 cited
  • 2010Simulation-based dynamic traffic assignment for short-term planning applications57 cited
  • Cited by

    • 2018Deep Sequence Learning with Auxiliary Information for Traffic Prediction227 cited
    • 2018A Deep Learning Approach to the Citywide Traffic Accident Risk Prediction223 cited
    • 2019Traffic flow prediction based on combination of support vector machine and data denoising schemes220 cited
    • 2019Traffic speed prediction for urban transportation network: A path based deep learning approach214 cited
    • 2016Taxi Dispatch With Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach195 cited
    • 2019Nei-TTE: Intelligent Traffic Time Estimation Based on Fine-Grained Time Derivation of Road Segments for Smart City183 cited
    • 2018DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision180 cited