A City-Wide Traffic Volume Estimation Method Based on Graph Autoencoder
Author:
Affiliation:
1. Taiyuan University of Technology,Taiyuan,030024
2. Xi'an University of Technology,Xi'an,710048
Funder
Natural Science Foundation of Shaanxi Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10606543/10606546/10606597.pdf?arnumber=10606597
Reference18 articles.
1. Trajectory data-based traffic flow studies: A revisit
2. Real-time headway state identification and saturation flow rate estimation: a hidden Markov Chain model
3. Research on Intelligent Transportation System Technologies and Applications
4. Urban network-wide traffic volume estimation under sparse deployment of detectors
5. Integrating prediction with optimization: Models and applications in transportation management
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