DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting

Incorporating Dynamicity of Transportation Network With Multi-Weight Traffic Graph Convolutional Network for Traffic Forecasting

(2020) Yuyol Shin et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Big Data Analytics in Intelligent Transportation Systems: A Survey

(2018) Li Zhu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Impact of Data Loss for Prediction of Traffic Flow on an Urban Road Using Neural Networks

(2018) Teresa Pamula   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Evaluation of spatio-temporal forecasting methods in various smart city applications

(2018) Akin Tascikaraoglu   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A hybrid deep learning based traffic flow prediction method and its understanding

(2018) Yuankai Wu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data

(2018) Zongtao Duan et al.   IEEE Access

Short-Term Traffic Speed Forecasting Based on Attention Convolutional Neural Network for Arterials

(2018) Qingchao Liu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Research on Traffic Speed Prediction by Temporal Clustering Analysis and Convolutional Neural Network with Deformable Kernels (May, 2018)

(2018) Guojiang Shen et al.   IEEE Access

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

Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature Learning Network

(2018) Di Zang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

(2017) Xiaolei Ma et al.   SENSORS

Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

(2017) Haiyang Yu et al.   SENSORS

Deep learning for short-term traffic flow prediction

(2017) Nicholas G. Polson et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

(2013) D. I. Shuman et al.   IEEE SIGNAL PROCESSING MAGAZINE

Data-Driven Intelligent Transportation Systems: A Survey

(2011) Junping Zhang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS