SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer
16 references·0 citing·24 second hop
Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer (2021)Learning Dynamic and Hierarchical Traffic…Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting (2020)Traffic transformer: Capturin…GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)GMAN: A Graph Multi-Attention…Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Graph WaveNet for Deep Spatia…Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Spatio-Temporal Graph Convolu…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…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting (2015)A spatiotemporal correlative …A gradient boosting method to improve travel time prediction (2015)A gradient boosting method to…Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…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…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…Nonparametric Regression and Short‐Term Freeway Traffic Forecasting (1991)Nonparametric Regression and …Dynamic prediction of traffic volume through Kalman filtering theory (1984)Dynamic prediction of traffic…ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC T…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)Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)Statistical and Econometric Methods for Transportation Data Analysis (2003)Deep learning for short-term traffic flow prediction (2017)Analysis of Financial Time Series (2006)Automatic Time Series Forecasting: The forecast Package for R (2008)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Applying a random forest method approach to model travel mode choice behavior (2018)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)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting (2020)Graph neural network for traffic forecasting: A survey (2022)Using LSTM and GRU neural network methods for traffic flow prediction (2016)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020)Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting (2021)
this work references cited by second hop

References

  • 2018Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting6,048 cited
  • 2019Graph WaveNet for Deep Spatial-Temporal Graph Modeling3,706 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
  • 2020GMAN: A Graph Multi-Attention Network for Traffic Prediction1,923 cited
  • 2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
  • 2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
  • 1984Dynamic prediction of traffic volume through Kalman filtering theory1,115 cited
  • 2015A gradient boosting method to improve travel time prediction874 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2006A Bayesian Network Approach to Traffic Flow Forecasting803 cited
  • 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 cited
  • 2017Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks623 cited
  • 1991Nonparametric Regression and Short‐Term Freeway Traffic Forecasting

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

526 cited
  • 2015A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting471 cited
  • 2020Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting417 cited
  • Cited by

    No citing works inside the corpus for this window.