SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges
16 references·2 citing·22 second hopsampled
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)A Survey on Modern Deep Neural Network fo…Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Traffic Graph Convolutional R…Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Spatio-Temporal Graph Convolu…Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Big Data Analytics in Intelli…A hybrid deep learning based traffic flow prediction method and its understanding (2018)A hybrid deep learning based …LSTM network: a deep learning approach for short‐term traffic forecast (2017)LSTM network: a deep learning…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 Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…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 …Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Deep Architecture for Traffic…Statistical methods versus neural networks in transportation research: Differences, similarities and some insights (2010)Statistical methods versus ne…Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC T…Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic prediction using arti…A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021)A Survey of Traffic Predictio…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)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)Combining kohonen maps with arima time series models to forecast traffic flow (1996)Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting (2007)Prediction of human emergency behavior and their mobility following large-scale disaster (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Traffic prediction in a bike-sharing system (2015)Travel-Time Prediction With Support Vector Regression (2004)Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Applications of Artificial Intelligence and Machine learning in smart cities (2020)Using LSTM and GRU neural network methods for traffic flow prediction (2016)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2018Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting6,048 cited
  • 2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 cited
  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 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
  • 2017LSTM network: a deep learning approach for short‐term traffic forecast1,899 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
  • 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 cited
  • 2018Big Data Analytics in Intelligent Transportation Systems: A Survey1,128 cited
  • 2019Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting1,020 cited
  • 2008Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions856 cited

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

  • 2010Statistical methods versus neural networks in transportation research: Differences, similarities and some insights845 cited
  • 2018A hybrid deep learning based traffic flow prediction method and its understanding806 cited
  • 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 cited
  • Cited by

    • 2021A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation410 cited
    • 2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities305 cited