High-speed highway road network short-term traffic flow parameters based on multi-source data fusion prediction
|更新时间:2025-05-26
|
High-speed highway road network short-term traffic flow parameters based on multi-source data fusion prediction
“In the field of traffic flow prediction, experts have proposed a real-time prediction method for short-term traffic flow parameters of highway networks based on multi-source data fusion, which effectively improves the prediction accuracy.”
Journal of Jilin University(Engineering and Technology Edition)Vol. 54, Issue 1, Pages: 155-161(2024)
GAO Hai-long,XU Yi-bo,LIU Kun,et al.High-speed highway road network short-term traffic flow parameters based on multi-source data fusion prediction[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(01):155-161.
Short⁃term traffic flow prediction based on LSSVMoptimized by immune algorithm
Characteristic of provenance and their control over sand bodies in Shahezi Formation of Xujiaweizi fault depression, Songliao Basin
“Factory-like” horizontal well plan optimization techniques in tight oil exploration:Case study of Fuyu oil-bearing layer of Y63 well block, northern Songliao Basin
Discovery of shallow biogas and cause of formation analysis in Jianli area, southern Jianghan Basin
Study on the genesis of pyrite in the Longmaxi Formation shale in the Upper Yangtze area
Related Author
GU Yuan-li
ZHANG Yuan
RUI Xiao-ping
LU Wen-qi
LI Meng
WANG Shuo
Related Institution
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