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A Multi-Stream Feature Fusion Approach for Traffic Prediction
10 references·0 citing·33 second hopsampled
A Multi-Stream Feature Fusion Approach for Traffic Prediction (2020)A Multi-Stream Feature Fusion Approach fo…T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)T-GCN: A Temporal Graph Convo…Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (2019)Spatiotemporal Multi-Graph Co…Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Spatio-Temporal Graph Convolu…Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach (2018)Predicting station-level hour…Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Diffusion Convolutional Recur…Using LSTM and GRU neural network methods for traffic flow prediction (2016)Using LSTM and GRU neural net…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…Modeling no-notice mass evacuation using a dynamic traffic flow optimization model (2006)Modeling no-notice mass evacu…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…Designing Health Messages: Approaches from Communication Theory and Public Health Practice (1995)A Linear Programming Model for the Single Destination System Optimum Dynamic Traffic Assignment Problem (2000)Foundations of Dynamic Traffic Assignment: The Past, the Present and the Future (2001)Robust optimization for emergency logistics planning: Risk mitigation in humanitarian relief supply chains (2010)Review of recent developments in OR/MS research in disaster operations management (2013)Optimization models for large scale network evacuation planning and management: A literature review (2016)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)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)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Travel-Time Prediction With Support Vector Regression (2004)Short-term traffic forecasting: Where we are and where we’re going (2014)Urban Computing (2014)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)An effective spatial-temporal attention based neural network for traffic flow prediction (2019)How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey (2020)Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)OpenStreetMap: User-Generated Street Maps (2008)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting (2021)Graph neural network for traffic forecasting: A survey (2022)Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey (2023)
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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
  • 2019T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction3,527 cited
  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2016Using LSTM and GRU neural network methods for traffic flow prediction1,593 cited
  • 2019Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting894 cited
  • 2008Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions856 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2018Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach450 cited
  • 2006Modeling no-notice mass evacuation using a dynamic traffic flow optimization model231 cited

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