Real-Time Traffic Speed Estimation With Graph Convolutional Generative Autoencoder

• Published in: IEEE transactions on intelligent transportation systems Vol. 20; no. 10; pp. 3940 - 3951
• Main Authors: Yu, James Jian Qiao, Gu, Jiatao
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Computer simulation; Data models; data-driven model; deep learning; Estimation; generative adversarial network; Global Positioning System; graph convolutional network; Intelligent transportation systems; Learning; Real time; Real-time systems; Roads; Sensors; Speed limits; Traffic estimation; Traffic information; Traffic speed; Transportation networks

Real-time traffic speed estimation is an essential component of intelligent transportation system (ITS) technologies. It is the foundation of modern transportation control and management applications. However, the existing traffic speed acquisition systems can only provide real-time speed measuremen...