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Deep spatio-temporal graph convolutional network for traffic accident prediction
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Deep spatio-temporal graph convolutional network for traffic accident prediction (2020)Deep spatio-temporal graph convolutional …Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Spatio-Temporal Graph Convolu…LC-RNN: A Deep Learning Model for Traffic Speed Prediction (2018)LC-RNN: A Deep Learning Model…Hetero-ConvLSTM (2018)Hetero-ConvLSTMTraffic optimization via road pricing for queuing and flow congestion (2017)Traffic optimization via road…A protocol to convert spatial polyline data to network formats and applications to world urban road networks (2016)A protocol to convert spatial…Coupled Layer-wise Graph Convolution for Transportation Demand Prediction (2021)Coupled Layer-wise Graph Conv…Space is the Machine: A Configurational Theory of Architecture (1996)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)The New Science of Cities (2013)OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks (2017)Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling (2018)Assessing Spatial Accessibility to Medical Resources at the Community Level in Shenzhen, China (2019)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)Evolutionary Implementation and Congestion Pricing (2002)Negative Externalities and Evolutionary Implementation (2005)A hybrid implementation mechanism of tradable network permits system which obviates path enumeration: An auction mechanism with day-to-day capacity control (2013)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction (2019)City-Wide Traffic Congestion Prediction Based on CNN, LSTM and Transpose CNN (2020)Adaptive Spatio-temporal Graph Neural Network for traffic forecasting (2022)STATISTICS FOR SPATIAL DATA (1992)Statistics for Spatial Data. (1993)DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (2021)Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)Spatial-Temporal Large Language Model for Traffic Prediction (2024)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Graph neural network for traffic forecasting: A survey (2022)PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction (2023)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
  • 2018Hetero-ConvLSTM391 cited
  • 2018LC-RNN: A Deep Learning Model for Traffic Speed Prediction284 cited
  • 2016A protocol to convert spatial polyline data to network formats and applications to world urban road networks131 cited
  • 2017Traffic optimization via road pricing for queuing and flow congestion3 cited

Cited by

  • 2021Coupled Layer-wise Graph Convolution for Transportation Demand Prediction205 cited

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