Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting

16 references·7 citing·22 second hopsampled

FromToDepth

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
2019T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction3,527 cited
2019Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting3,248 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
2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 cited
2019Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting1,020 cited
2019Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction921 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
2017Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach748 cited

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

2016DNN-based prediction model for spatio-temporal data739 cited

2020Spatial-Temporal Transformer Networks for Traffic Flow Forecasting606 cited

2018Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction583 cited

Cited by

2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities305 cited
2021Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer302 cited
2022A review of location encoding for GeoAI: methods and applications192 cited
2023Hierarchical Spatio–Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting187 cited
2022Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting186 cited
2022A review of spatially-explicit GeoAI applications in Urban Geography181 cited
2025Towards the next generation of Geospatial Artificial Intelligence145 cited