A Dynamical Spatial-Temporal Graph Neural Network for Traffic Demand Prediction

TAGCN: Station-level demand prediction for bike-sharing system via a temporal attention graph convolution network

(2021) Wenjie Zi et al.   INFORMATION SCIENCES

Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations

(2021) Guopeng Li et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting

(2021) Grzegorz Dudek et al.   IEEE Transactions on Neural Networks and Learning Systems

Multi-Graph Convolutional Network for Short-Term Passenger Flow Forecasting in Urban Rail Transit

(2020) Jinlei Zhang et al.   IET Intelligent Transport Systems

Forecast network-wide traffic states for multiple steps ahead: A deep learning approach considering dynamic non-local spatial correlation and non-stationary temporal dependency

(2020) Xinglei Wang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A spatiotemporal hierarchical attention mechanism-based model for multi-step station-level crowd flow prediction

(2020) Yirong Zhou et al.   INFORMATION SCIENCES

Daily Traffic Flow Forecasting Through a Contextual Convolutional Recurrent Neural Network Modeling Inter- and Intra-Day Traffic Patterns

(2020) Dongfang Ma et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning

(2019) Junbo Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

(2019) Ling Zhao et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach

(2018) Lei Lin et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Bimodal Gaussian Inhomogeneous Poisson Algorithm for Bike Number Prediction in a Bike-Sharing System

(2018) Feihu Huang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS