Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning

Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks

(2020) Cen Chen et al.   ACM Transactions on Knowledge Discovery from Data

Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting

(2020) Hao Peng et al.   INFORMATION SCIENCES

A residual spatio-temporal architecture for travel demand forecasting

(2020) Ge Guo 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

Deep Learning for Spatio-Temporal Data Mining: A Survey

(2020) Senzhang Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Is dynamic traffic sensor network profitable for network-level real-time information prediction?

(2019) Xuechi Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting

(2019) Shengnan Guo et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Learning heterogeneous traffic patterns for travel time prediction of bus journeys

(2019) Peilan He et al.   INFORMATION SCIENCES