Traffic flow prediction based on spatio-temporal dynamic constraint graph feedback
|更新时间:2026-01-28
|
Traffic flow prediction based on spatio-temporal dynamic constraint graph feedback
“In the field of traffic flow prediction, researchers have proposed a prediction model based on spatiotemporal dynamic constraint graph feedback, which effectively reduces prediction errors and provides a new direction for traffic flow prediction research.”
Journal of Jilin University(Engineering and Technology Edition)Vol. 56, Issue 1, Pages: 183-198(2026)
HOU Yue,ZHANG Xin,WU Yue.Traffic flow prediction based on spatio-temporal dynamic constraint graph feedback[J].Journal of Jilin University(Engineering and Technology Edition),2026,56(01):183-198.
Short-term traffic flow prediction based on clustering algorithm and graph neural network
Dense correspondence calculation of 3D models based on unsupervised deformed network
Short⁃term traffic flow prediction based on LSSVMoptimized by immune algorithm
The development of Fayetteville shale play and its implications
A research on relative lacustrine level changes of Cretaceous Shushanhe Formation in the Yingmaili area of Tarim Basin
Related Author
YU Guang-jie
CUI Yong
SHANG Ji-yang
ZHANG Xi-jun
GAO Zhi-ming
YANG Jun
GU Yuan-li
ZHANG Yuan
Related Institution
School of Computer and Communication, Lanzhou University of Technology
School of Electronic and Information Engineering, Lanzhou Jiaotong University
Faculty of Geomatics, Lanzhou Jiaotong University
Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University
School of Earth Sciences and Engineering, Hohai University