SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system
16 references·1 citing·25 second hop
Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system (2019)Sequence to sequence learning with attent…Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction (2018)Deep Bidirectional and Unidir…Spatiotemporal 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…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…Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…Deep learning for short-term traffic flow prediction (2017)Deep learning for short-term …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…Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Forecasting the short-term me…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…Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models (1998)Urban Freeway Traffic Flow Pr…Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)Traffic Flow Forecasting: Com…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction (2020)Physical-Virtual Collaboratio…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)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)Support Vector Machine Regression for Volatile Stock Market Prediction (2002)Travel time data collection handbook (2010)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)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)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Using LSTM and GRU neural network methods for traffic flow prediction (2016)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Applications of Artificial Intelligence and Machine learning in smart cities (2020)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)
this work references cited by second hop

References

  • 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
  • 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
  • 2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
  • 2017Deep learning for short-term traffic flow prediction1,060 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2017Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach748 cited
  • 1997Traffic Flow Forecasting: Comparison of Modeling Approaches686 cited
  • 2017Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks623 cited
  • 2018Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction

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

583 cited
  • 1998Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models524 cited
  • 2011Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks475 cited
  • Cited by

    • 2020Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction199 cited